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<div style=""><b style="font-weight: 700">Responsibilities:</b></div><ul>  <li style="">Design, develop, and deploy Power BI reports and dashboards that provide key insights into business performance.</li>  <li style="">Create and maintain complex Power BI data models, integrating data from multiple sources.</li>  <li style="">Write and optimize SQL queries to extract, manipulate, and analyze data from various databases.</li>  <li style="">Collaborate with cross-functional teams to understand business requirements and translate them into effective BI solutions.</li>  <li style="">Perform data analysis using Excel, Power Query, and other tools to support reporting and analytics needs.</li>  <li style="">Monitor and troubleshoot Power BI reports and data refresh schedules to ensure consistent performance.</li>  <li style="">Implement security measures and ensure data is presented to the appropriate audience through role-based access.</li>  <li style="">Continuously improve the usability, interactivity, and performance of reports.</li>  <li style="">Provide training and support to end-users on Power BI usage.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Technical Expertise:</b></div><ul>  <li style="">Staying up-to-date with the latest Power BI technologies and trends.</li>  <li style="">Selecting and implementing appropriate Power BI tools and technologies.</li>  <li style="">Optimizing data storage and retrieval for efficient data access.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Data Management and Integration:</b></div><ul>  <li style="">Integrating data from multiple sources, ensuring data quality and consistency.</li>  <li style="">Establishing data standards and governance to maintain data integrity.</li>  <li style="">Developing and maintaining data models, ETL processes, and reporting solutions.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Designing BI Architecture:</b></div><ul>  <li style="">Conceptualizing and designing the organization's data infrastructure, including data warehousing, data models, and ETL processes.</li>  <li style="">Ensuring the system can scale with the company's future needs.</li>  <li style="">Collaborating with stakeholders to gather and analyze business requirements.</li></ul>

Wilmington

PowerBI Architect

<div style="">We are seeking an experienced <b style="font-weight: 700">Databricks Architect</b> to design, implement, and optimize big data and cloud-based solutions using the Databricks platform. As a Databricks Architect, you will be responsible for creating scalable, efficient, and secure data architectures and workflows in a cloud-based environment, while ensuring best practices in data engineering, governance, and security.</div><div style="">The ideal candidate should have deep expertise in the Databricks ecosystem, strong experience with data processing frameworks (such as Apache Spark), and a solid understanding of cloud infrastructure. You will collaborate with cross-functional teams to design solutions that support large-scale data processing and machine learning workloads.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Lead the design and implementation of data solutions using Azure services, including Azure Synapse Analytics and Azure Databricks, specifically for cost optimization.</li>  <li style="">Define the overall data strategy and architecture for cost optimization projects.</li>  <li style="">Mentor and guide team members on data engineering best practices and cost optimization techniques.</li>  <li style="">Collaborate with cross-functional teams to identify and prioritize cost-saving opportunities through data analysis.</li>  <li style="">Evaluate and implement new data technologies to enhance performance and reduce costs.</li>  <li style="">Ensure compliance with data governance standards and best practices across cost optimization projects.</li>  <li style="">Extensive experience in data engineering, with a focus on Azure technologies and cost optimization projects.</li>  <li style="">Proven leadership skills with a track record of successful project delivery focused on cost savings.</li>  <li style="">Strong expertise in data modelling, ETL processes, and data governance.</li>  <li style="">Excellent communication skills and the ability to collaborate with stakeholders at all levels.</li></ul>

Databricks Solution Architect

<div style="">We are seeking a highly skilled Data Scientist with a strong background in operations research, mathematical programming, and enterprise data science solutions. This role is ideal for someone who thrives in a fast-paced, research-driven environment, can independently break down complex problems, and enjoys collaborating with a team of PhDs to build scalable data-driven solutions.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Develop and deploy operations research solutions with integrated machine learning and data science methodologies.</li>  <li style="">Build enterprise-grade data science solutions, not just standalone models (e.g., Kaggle-style projects).</li>  <li style="">Utilize PySpark in a Databricks environment to process large-scale datasets efficiently.</li>  <li style="">Apply scientific programming techniques using SciPy, NumPy, and optimization methods.<br>Collaborate with business stakeholders to translate complex technical concepts into clear, actionable insights.</li>  <li style="">Take full ownership of projects, work independently with minimal supervision, and manage sprints effectively.</li>  <li style="">Work with GitHub Enterprise, CI/CD principles, and best practices for scalable data solutions.<br>Focus on retail inventory management and operations research to drive significant business impact.</li></ul>

Remote

Senior Data Scientist

<div style="">We are seeking a highly skilled Data Architect to design and implement robust, scalable, and secure data solutions on AWS Cloud. The ideal candidate should have expertise in AWS services, data modeling, ETL processes, and big data technologies, with hands-on experience in Glue, DMS, Python, PySpark, and MPP databases like Snowflake, Redshift, or Databricks.</div><h3 style="font-size: 1.17em"><br></h3><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Architect and implement data solutions leveraging AWS services such as EC2, S3, IAM, Glue (Mandatory), and DMS for efficient data processing and storage.</li>  <li style="">Develop scalable ETL pipelines using AWS Glue, Lambda, and PySpark to support data transformation, ingestion, and migration.</li>  <li style="">Design and optimize data models following Medallion architecture, Data Mesh, and Enterprise Data Warehouse (EDW) principles.</li>  <li style="">Implement data governance, security, and compliance best practices using IAM policies, encryption, and data masking.</li>  <li style="">Work with MPP databases such as Snowflake, Redshift, or Databricks, ensuring performance tuning, indexing, and query optimization.</li>  <li style="">Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to design efficient data integration strategies.</li>  <li style="">Ensure high availability and reliability of data solutions by implementing monitoring, logging, and automation in AWS.</li>  <li style="">Evaluate and recommend best practices for ETL workflows, data pipelines, and cloud-based data warehousing solutions.</li>  <li style="">Troubleshoot performance bottlenecks and optimize query execution plans, indexing strategies, and data partitioning.</li></ul><h3 style="font-size: 1.17em"><br></h3>

Chennai

Data Architect

<ul>  <li style="">Strong experience with Python, SQL, pySpark, AWS Glue. Good to have - Shell Scripting, Kafka</li>  <li style="">Good knowledge of DevOps pipeline usage (Jenkins, Bitbucket, EKS, Lightspeed)</li>  <li style="">Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.).</li>  <li style="">Orchestration using Airflow</li>  <li style="">Good to have - Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming</li>  <li style="">Good debugging skills</li>  <li style="">Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements.</li>  <li style="">Strong experience and implementation of Data lakes, Data warehousing, Data Lakehouse architectures.</li>  <li style="">Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.</li>  <li style="">Monitor data systems performance and implement optimization strategies.</li>  <li style="">Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.</li>  <li style="">Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review).</li>  <li style="">Experience in Insurance domain preferred.</li></ul>

Bengaluru

Lead Data Engineer

<div style="">We are seeking a skilled LookML Developer to join our team. As a LookML Developer, you will be responsible for designing, developing, and implementing solutions for the Enterprise Semantic Layer and ensuring robust security governance. You will work closely with analysts and other stakeholders to create data-driven solutions that enhance our business intelligence capabilities.</div>

LookML Developer

<div style="">As a Solution Specialist, you will collaborate with multiple teams such as sales, delivery &amp; marketing to put forth Affine in front of our clients/partners. This position will give you opportunities to work on a wide range of problems and businesses as a part of the business team. You will often be working closely with senior management including founders and VPs to define solutioning strategies and engagement workflows. The role requires people with a good mix of technical knowledge and business acumen, and who are prepared to learn every day.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Responsibilities</b></div><ul>  <li style="">Communicate with sales teams, clients, and partners to understand solutioning requirements, translating business questions into analytical solutions.</li>  <li style="">Create solution proposals and respond to requests for proposals (RFPs).</li>  <li style="">Participate in sales meetings as a subject matter expert (SME).</li>  <li style="">Present Affine's thought leadership through intuitive storyboarding.</li>  <li style="">Lead and mentor a team of Solution Analysts to meet expected SLAs.</li>  <li style="">Anticipate and identify changes in industry trends to help the organization develop strategic plans.</li>  <li style="">Research the latest trends in relevant analytical technologies and share knowledge within the organization.</li>  <li style="">Effectively interact with clients, partners, and internal teams at all levels and across geographies.</li>  <li style="">Communicate effectively with both technical and non-technical stakeholders, driving discussions efficiently.</li></ul>

Solution Specialist - AI/ML

<div style="">We are looking for a Senior Analytics Specialist with 5+ years of experience in analytics, possessing strong expertise in SQL, data visualization, and marketing analytics. The ideal candidate should have experience in ETL processes, gaming domain knowledge, and excellent presentation skills. Predictive modeling experience will be an added advantage.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Analyze large datasets to generate actionable insights for business and marketing strategies.</li>  <li style="">Develop dashboards and reports using Power BI / Tableau for data visualization.</li>  <li style="">Utilize SQL to extract, manipulate, and analyze data from multiple sources.</li>  <li style="">Work closely with stakeholders to understand business needs and provide data-driven recommendations.</li>  <li style="">Support ETL processes and ensure efficient data pipeline management.</li>  <li style="">Apply marketing analytics techniques to optimize campaigns and customer engagement.</li>  <li style="">Present insights and recommendations in a clear and compelling manner to both technical and non-technical audiences.</li>  <li style="">(Optional) Utilize predictive modeling techniques to enhance decision-making and business performance.</li></ul>

Santa Monica

Data Analytics Consultant

<div style=""><b style="font-weight: 700">Role Description:</b></div><div style="">We are looking for someone who is interested in harnessing machine learning to power marketing optimization. Someone who is fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale. Someone who loves building high-scale distributed systems using a diverse set of state-of-the-art technologies. The work will span across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Flyte, Databricks, Kubernetes, AWS and much more!</div><div style=""><br></div><div style=""><b style="font-weight: 700">What you’ll do</b></div><ul>  <li style="">You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production.</li>  <li style="">You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation.</li>  <li style="">You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule.</li>  <li style="">You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects.</li>  <li style="">Participate in code reviews to assess overall code quality and flexibility</li>  <li style="">Support and troubleshoot data and/or system issues as needed</li></ul>

ML Engineer

<div style=""><b style="font-weight: 700">Job Description:</b></div><div style=""><br></div><div style="">We are seeking a talented and motivated Consultant Business Analyst to join our dynamic team. The ideal candidate will have a strong background in data analysis, excellent problem-solving skills, and the ability to communicate complex findings to diverse stakeholders. As a Consultant Business Analyst, you will play a key role in providing actionable insights and strategic recommendations to our clients, helping them unlock the full potential of their data.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Years of Experience: 5-8 Years</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Roles and Responsibilities:</b></div><ul>  <li style="">Complete accountability for delivering 1-2 projects from conception to implementation</li>  <li style="">Managing the team of Associates and Senior Associates</li>  <li style="">Interviewing client intelligently to learn important figures and gather requirements</li>  <li style="">Managing project timing, client expectations and meeting deadlines</li>  <li style="">Creating smart &amp; impactful PowerPoint presentations</li>  <li style="">Playing proactive role in business development (preparing sales collaterals, pitch documents etc.) and organization building (training, recruitment etc.)</li>  <li style="">Presentation of final results to the client and discuss further opportunities within/outside the project along with maintaining documentation and reports</li>  <li style="">Plan deliverables and milestones for the project that you are responsible for</li>  <li style="">Provide business analysis and business area assessment</li>  <li style="">Facilitate meetings within the team on regular basis</li>  <li style="">Track and report team hours</li></ul>

Sr. Data Analyst

<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>