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<div style="">We are seeking a skilled and motivated <b style="font-weight: 700">Data Engineer</b> to join our team. The ideal candidate will have extensive experience in building and maintaining data ingestion pipelines using <b style="font-weight: 700">Kafka</b> or <b style="font-weight: 700">Apache Spark</b>, along with expertise in big data frameworks such as <b style="font-weight: 700">Hadoop</b> and <b style="font-weight: 700">Hive</b>. Proficiency in <b style="font-weight: 700">Python</b> for scalable data processing, and experience working with <b style="font-weight: 700">Cloud Data Platforms</b> (AWS, Azure, or GCP) are essential.Design, develop, and maintain <b style="font-weight: 700">data ingestion pipelines</b> using <b style="font-weight: 700">Kafka</b> or <b style="font-weight: 700">Apache Spark</b>.</div><ul>  <li style="">Build robust <b style="font-weight: 700">ETL workflows</b> for processing and transforming data efficiently.</li>  <li style="">Work with <b style="font-weight: 700">Hadoop</b> and <b style="font-weight: 700">Hive</b> for big data storage and querying needs.</li>  <li style="">Leverage <b style="font-weight: 700">Python</b> and <b style="font-weight: 700">Spark</b> for scalable data processing and analytics.</li>  <li style="">Manage and optimize data on <b style="font-weight: 700">Cloud Data Platforms</b> (AWS, Azure, or GCP).</li>  <li style="">Collaborate with cross-functional teams to understand and deliver on data requirements.</li>  <li style="">Implement best practices for data governance, quality, and security.</li></ul>

Bengaluru

Sr. Data Engineer

<div style=""><b style="font-weight: 700">Role Objective:</b></div><div style=""><br></div><div style="">Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products</div><div style=""><br></div><div style=""><b style="font-weight: 700">Roles &amp; Responsibilities:</b></div><ul>  <li style="">Sound knowledge in Spark architecture and distributed computing and Spark streaming.</li>  <li style="">Proficient in Spark – including RDD and Data frames core functions, troubleshooting and performance tuning.</li>  <li style="">Good understanding in object-oriented concepts and hands on experience on Scala with excellent programming logic and technique.</li>  <li style="">Good in <b style="font-weight: 700">functional programming and </b>OOPS concept on Scala</li>  <li style="">Good experience in SQL – should be able to write complex queries.</li>  <li style="">Managing the team of Associates and Senior Associates and ensuring the utilization is maintained across the project.</li>  <li style="">Able to mentor new members for onboarding to the project.</li>  <li style="">Understand the client requirement and able to design, develop from scratch and deliver.</li>  <li style="">AWS cloud experience would be preferable.</li>  <li style="">Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services - DynamoDB, RedShift, Kinesis, Lambda, S3, etc. (prefered)</li>  <li style="">Hands on experience utilizing AWS Management Tools (CloudWatch, CloudTrail) to proactively monitor large and complex deployments (prefered)</li>  <li style="">Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on AWS (prefered)</li>  <li style="">Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements.</li>  <li style="">Managing project timing, client expectations and meeting deadlines.</li>  <li style="">Should have played project and team management roles.</li>  <li style="">Facilitate meetings within the team on regular basis.</li>  <li style="">Understand business requirement and analyze different approaches and plan deliverables and milestones for the project.</li>  <li style="">Optimization, maintenance, and support of pipelines.</li>  <li style="">Strong analytical and logical skills.</li>  <li style="">Ability to comfortably tackling new challenges and learn</li></ul>

India

Lead Big Data Engineer

Sr. Big Data Engineer

Big Data Engineer

<div style=""><b style="font-weight: 700">Role Objective:</b></div><div style=""><br></div><div style="">Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products</div><div style=""><br></div><div style=""><b style="font-weight: 700">Roles &amp; Responsibilities:</b></div><ul>  <li style="">Sound knowledge in Spark architecture and distributed computing and Spark streaming.</li>  <li style="">Proficient in Spark – including RDD and Data frames core functions, troubleshooting and performance tuning.</li>  <li style="">Good understanding in object-oriented concepts and hands on experience on Kotlin/Scala/Java with excellent programming logic and technique.</li>  <li style="">Good in <b style="font-weight: 700">functional programming and </b>OOPS concept on Kotlin/Scala/Java</li>  <li style="">Good experience in SQL – should be able to write complex queries.</li>  <li style="">Managing the team of Associates and Senior Associates and ensuring the utilization is maintained across the project.</li>  <li style="">Able to mentor new members for onboarding to the project.</li>  <li style="">Understand the client requirement and able to design, develop from scratch and deliver.</li>  <li style="">AWS cloud experience would be preferable.</li>  <li style="">Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services - DynamoDB, RedShift, Kinesis, Lambda, S3, etc. (preferred)</li>  <li style="">Hands on experience utilizing AWS Management Tools (CloudWatch, CloudTrail) to proactively monitor large and complex deployments (preferred)</li>  <li style="">Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on AWS (preferred)</li>  <li style="">Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements.</li>  <li style="">Managing project timing, client expectations and meeting deadlines.</li>  <li style="">Should have played project and team management roles.</li>  <li style="">Facilitate meetings within the team on regular basis.</li>  <li style="">Understand business requirement and analyze different approaches and plan deliverables and milestones for the project.</li>  <li style="">Optimization, maintenance, and support of pipelines.</li>  <li style="">Strong analytical and logical skills.</li>  <li style="">Ability to comfortably tackling new challenges and learn</li></ul>

<div style=""><b style="font-weight: 700">What you will do:-</b> Reach out to meet peers across environment and collaborate to solve problems. You will seek knowledge from subject matter experts when needed. Develop and test standard software applications and related programs and procedures to ensure they meet design requirements.&nbsp;</div><ul>  <li style="">Collaborate with cross-functional teams to deliver effectively.&nbsp;</li>  <li style="">Ask challenging questions when empowered to do so.&nbsp;</li>  <li style="">Participate in tests (A/B, usability, etc.).</li>  <li style="">Consult available data to understand customer needs, motivations and challenges.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Who you are:-</b></div><ul>  <li style="">Bachelor's degree in a related technical field; or Equivalent related professional experience.</li>  <li style="">Professional Android development experience.&nbsp;</li>  <li style="">Working experience in Jetpack Compose</li>  <li style="">Proactively identify inefficiencies in existing systems.&nbsp;</li>  <li style="">Understands how projects fit together within their team.&nbsp;</li>  <li style="">Understands moderately complex systems.&nbsp;</li>  <li style="">Experience testing and monitoring your own code.&nbsp;</li>  <li style="">Understands testing and monitoring tools.&nbsp;</li>  <li style="">Experienced debugging applications.&nbsp;</li>  <li style="">Creates effective automation and unit tests.&nbsp;</li>  <li style="">Understands how teams' goals fit a business need.&nbsp;</li>  <li style="">Demonstrates strength in platform languages such as Kotlin, moderate familiarity in other applicable languages and shell scripting using Bash.&nbsp;</li>  <li style="">Demonstrates familiarity with UI framework and state management patterns and practices.&nbsp;</li>  <li style="">Demonstrates familiarity with associated technologies within their specialization as part of the wider ecosystem, such as REST and GraphQL.&nbsp;</li>  <li style="">Demonstrates familiarity with how to make individual components and application sections accessible, knowledge of relevant platform features such as VoiceOver.&nbsp;</li>  <li style="">Employing practice of TDD as well as knowledge in Android Development Testing Framework&nbsp;</li></ul>

Android Developer

<div style=""><b style="font-weight: 700">Solution Design and Architecture</b></div><ul>  <li style="">Design and architect end-to-end data science solutions that align with business objectives and technical requirements.</li>  <li style="">Develop scalable and maintainable data science workflows, including data ingestion, preprocessing, modeling, and deployment.</li>  <li style="">Ensure the integration of data science solutions with existing systems and platforms.</li></ul><div style=""><b style="font-weight: 700">Technical Leadership</b></div><ul>  <li style="">Provide technical leadership and guidance to data scientists, data engineers, and other stakeholders.</li>  <li style="">Stay updated with the latest advancements in data science, machine learning, and AI technologies, and apply them to improve solution designs.</li></ul><div style=""><b style="font-weight: 700">Project Management (PM certification not required)</b></div><ul>  <li style="">Lead the planning, execution, and delivery of data science projects, ensuring they are completed on time and within budget.</li>  <li style="">Collaborate with project managers to define project scope, milestones, and deliverables.</li>  <li style="">Monitor project progress and provide regular updates to stakeholders.</li></ul><div style=""><b style="font-weight: 700">Data Strategy and Governance</b></div><ul>  <li style="">Define data strategy and governance frameworks to ensure data quality, security, and compliance.</li>  <li style="">Establish best practices for data management, including data acquisition, storage, and processing.</li></ul><div style=""><b style="font-weight: 700">Collaboration and Communication</b></div><ul>  <li style="">Work closely with business stakeholders to understand their needs and translate them into technical requirements.</li>  <li style="">Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.</li>  <li style="">Foster a collaborative environment to facilitate knowledge sharing and innovation.</li></ul><div style=""><b style="font-weight: 700">Solution Implementation and Deployment</b></div><ul>  <li style="">Oversee the implementation of data science solutions, including the development and deployment of machine learning models.</li>  <li style="">Ensure solutions are robust, scalable, and perform well in production environments.</li>  <li style="">Conduct code reviews and ensure adherence to coding standards and best practices.</li></ul><div style=""><b style="font-weight: 700">Performance Optimization and Troubleshooting</b></div><ul>  <li style="">Optimize the performance of data science solutions, including model accuracy, computational efficiency, and resource utilization. Improve efficiency by creating repeatable and reusable modules</li>  <li style="">Troubleshoot and resolve technical issues related to data science solutions.</li></ul>

Delivery Lead - AI

<ul>  <li style="">Collaborate with cross-functional teams to identify opportunities for AI and Data to solve business challenges</li>  <li style="">Design and implement data pipelines to collect, process, and integrate data from various sources</li>  <li style="">Develop and optimize machine learning and deep learning models for predictive analytics, computer vision, natural language processing, and more</li>  <li style="">Leverage big data technologies like Hadoop, Spark, and NoSQL databases to handle large-scale datasets</li>  <li style="">Explore and apply generative AI techniques to generate synthetic data, create content, and automate tasks</li>  <li style="">Implement MLOps practices to streamline the model development lifecycle and enable continuous deployment</li>  <li style="">Present findings and recommendations to stakeholders in a clear and compelling manner</li>  <li style="">Lead cross-functional teams to deliver AI projects on time and within budget</li>  <li style="">Stay current with the latest advancements in AI, data engineering, and related technologies</li></ul>

Data Scientist 

<div style=""><b style="font-weight: 700">Primary Role</b>:</div><ul>  <li style="">Resource and Project Timeline Estimation</li>  <li style="">Defining project and program management process</li>  <li style="">Prioritizing task within project: &nbsp;Task allocation across resources – capable of evaluating resources by their skills and improvement areas - prioritizes resource development</li>  <li style="">Contributes to org-level activities such as sales collaterals, designing proposals, guiding teams through Proof of Concepts and training</li>  <li style="">Recruit, train, develop and supervise team of Associates &amp; Consultants</li>  <li style="">Specialized in Big Data domain</li>  <li style="">Understanding the upstream data designing efficient data pipelines, building data marts, having the transformed data exposed to downstream applications.</li>  <li style="">Should be comfortable in building and optimizing performant data pipelines which include data ingestion, data cleansing and curation into a data warehouse, database, or any other data platform using Spark with Python or Scala or Java.</li>  <li style="">Hands on experience on very large data set operations</li>  <li style="">Deliver good solutions against tight timescales</li>  <li style="">Excellent presentation, &nbsp;documentation, &nbsp;communication and influencing &nbsp;skills as well as skills which present/influence technology direction in &nbsp;business context to the stakeholders</li>  <li style="">Must be able to write and understand complex SQL queries.</li>  <li style="">Expertise in requirement gathering, technical design and functional documents.</li>  <li style="">Should have proven experience in delivering projects using Agile frameworks such as Scrum, Kanban</li>  <li style="">Experience in leading conversations with clients and onsite counterparts</li>  <li style="">Strong analytical and logical skills.</li>  <li style="">Must be able to comfortably tackle new challenges and learn.</li>  <li style="">Must have strong verbal and written communication skills.</li></ul>

Lead Data Engineer

<div style=""><b style="font-weight: 700">Objective:</b></div><div style="">As a Data Engineer, you will be responsible for building effective data solutions that will cater to the needs of Data Analysts, Data Scientists, and other Data Consumers across the organization. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. They assess a wide range of requirements and apply relevant database techniques to create a robust architecture and will ensure delivering of high quality ETL solutions.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Roles and Responsibilities:</b></div><ul>  <li style="">Should be comfortable in building and optimizing &nbsp;performant data pipelines which include data ingestion, data cleansing and curation into a datawarehouse, database, or any other data platform using Python</li>  <li style="">Must have solid understanding of data structures and algorithms</li>  <li style="">Must be extremely proficient with python core libraries and Object-Oriented Programming concepts</li>  <li style="">Must have experience working with REST API</li>  <li style="">Maintenance and optimization of existing processes</li>  <li style="">Experience in writing production ready code in Python and test, participate in code reviews to maintain and improve code quality, stability, and supportability</li>  <li style="">Experience in designing data warehouse/data mart</li>  <li style="">Experience with any RDBMS preferably SQL Server and must be able to write complex SQL queries</li>  <li style="">Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements</li>  <li style="">Expertise in requirement gathering, technical design and functional documents</li>  <li style="">Experience in Agile/Scrum practices</li>  <li style="">Experience in leading other developers and guiding them technically</li>  <li style="">Experience in deploying data pipelines using automated CI/CD approach</li>  <li style="">Ability to write modularized reusable code components</li>  <li style="">Proficient in identifying data issues and anomalies during analysis</li>  <li style="">Strong analytical and logical skills</li>  <li style="">Must be able to comfortably tackle new challenges and learn</li>  <li style="">Must have strong verbal and written communication skills</li></ul>

Consultant - Data Engineer

<div style="">Affine is a leading global AI and analytics company that has earned the trust of major organizations across industries for transforming businesses through data-driven insights and cutting-edge Generative AI technologies.</div><div style=""><br></div><div style="">Founded in 2011, Affine has become a trusted partner for major organizations across various industries, delivering bespoke data solutions and products. Our team excels in strategic consulting, advanced analytics, data engineering and governance, MLOps, and AI-powered solutions, with a strong emphasis on Generative AI applications that foster ingenuity and pioneer advancements.</div><div style=""><br></div><div style="">We offer comprehensive data visualization and adoption advisory services, ensuring that our clients not only keep pace but lead in their respective fields. For more insights into our Generative AI capabilities and other services, please visit our website <a href="https://.affine.ai/">https://affine.ai</a>.</div><div style=""><br></div><div style="">We offer exciting career opportunities for professionals seeking to make a significant impact. As an Affine employee, you'll be part of a dynamic and inclusive work environment that values collaboration, creativity, and continuous learning. &nbsp;At Affine, we foster a culture of collaboration, you also work alongside some of the brightest minds in the industry, solve complex challenges, and make a lasting impact on the world.</div>