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<div style=""><b style="font-weight: 700">Job description:&nbsp;</b></div><ul>  <li style="">8+ experience in metadata management, data modelling, and related tools (Erwin or ER Studio or others). Overall 10+ Experience in IT.</li>  <li style="">Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional data platform technologies, and ETL and data ingestion).</li>  <li style="">Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.</li>  <li style="">Communication, and presentation skills.</li>  <li style="">Help team to Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional) and data tools (reporting, visualization, analytics, and machine learning).</li>  <li style="">Work with business and application/solution teams to implement data strategies develop the conceptual/logical/physical data models</li>  <li style="">Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models.</li>  <li style="">Hands-on modelling in modelling and mappings between source system data model and Datawarehouse data models.</li>  <li style="">Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks with respect to modelling and mappings.</li>  <li style="">Hands on experience in writing complex SQL queries.</li>  <li style="">Good to have experience in data modelling for NOSQL objects</li></ul>

India

Senior Data Modeler

<div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><div style="">We are seeking a highly skilled and detail-oriented <b style="font-weight: 700">Senior ETL QA</b> with expertise in <b style="font-weight: 700">ETL Testing, Automation, Performance Testing, Data Masking</b>, and strong <b style="font-weight: 700">documentation skills</b>. The ideal candidate will play a key role in ensuring the integrity, performance, and security of our data processes, while adhering to regulatory compliance standards. Design, develop, and execute comprehensive ETL testing strategies and test plans specific to Snowflake data pipelines.</div><div style=""><br></div><ul>  <li style="">Design, develop, and execute comprehensive ETL testing strategies and test plans specific to Snowflake &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data pipelines.</li>  <li style="">Create and maintain test cases to validate data extraction, transformation, and loading processes within &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Snowflake.</li>  <li style="">Conduct end-to-end testing of ETL workflows to ensure data integrity and accuracy throughout the entire &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;pipeline.</li>  <li style="">Collaborate closely with data engineers, developers, and stakeholders to understand data requirements &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and business logic.</li>  <li style="">Identify, document, and report defects or discrepancies in data transformations or loading processes.</li>  <li style="">Develop and maintain automated test scripts and frameworks for ETL testing in Snowflake.</li>  <li style="">Perform performance testing to evaluate the efficiency and scalability of Snowflake data pipelines.</li>  <li style="">Troubleshoot issues and work with cross-functional teams to resolve data-related problems.</li>  <li style="">Ensure compliance with data governance, security, and regulatory standards during testing processes.</li>  <li style="">Document test results, findings, and recommendations for improvements in testing procedures.</li>  <li style="">Strong Hands on, experience in SQL.</li></ul>

Sr. ETL QA Engineer

<div style="">Responsibilities of this role include:</div><ul>  <li style="">Working closely with the business users and the project team to evaluate, analyze and communicate systems requirements on a continuing basis.</li>  <li style="">Managing day-to-day Production Support with the help of the team</li>  <li style="">Daily Support issue prioritization meetings</li>  <li style="">Understanding business requirements and map the same to the solution being built</li>  <li style="">Creating, analyzing&nbsp;and validating detailed functional specifications</li>  <li style="">Ensure the product delivery by the dev team is as per the functional specifications</li>  <li style="">Ensure User support considerations are reviewed and aligned for ongoing solution monitoring and maintenance.</li>  <li style="">Evaluate data quality&nbsp;and consistency as viewed and required by the business</li></ul>

Bengaluru

Business Analyst - CTRM

<div style="">We are seeking an experienced Data Engineer with expertise in Azure Data Factory (ADF), Databricks, Microsoft Fabric, Python, and SQL to join our growing team. In this role, you will be responsible for designing, implementing, and maintaining scalable data pipelines, optimizing data workflows, and ensuring data integrity across systems. The ideal candidate will have strong technical skills, a deep understanding of data engineering best practices, and the ability to collaborate effectively with cross-functional teams to deliver high-quality data solutions.</div><div style=""><br></div><ul>  <li style=""><b style="font-weight: 700">Timings</b>: 1pm to 11pm</li>  <li style=""><b style="font-weight: 700">Designation: </b>&nbsp;Consultant</li>  <li style=""><b style="font-weight: 700">Experience :</b> 5 – 7 Years</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b>:</div><ul>  <li style="">Design, build, and maintain scalable and efficient data pipelines using Azure Data Factory (ADF), Databricks, and Microsoft Fabric.</li>  <li style="">Develop and implement ETL processes to collect, transform, and load data from various sources into data warehouses and data lakes.</li>  <li style="">Write complex SQL queries and Python scripts to manage, analyze, and manipulate large datasets.</li>  <li style="">Optimize data workflows, troubleshoot pipeline issues, and improve overall system performance.</li>  <li style="">Collaborate with data scientists, analysts, and other engineering teams to understand data requirements and deliver efficient data solutions.</li>  <li style="">Ensure data quality, integrity, and security in all stages of the data pipeline.</li>  <li style="">Monitor and optimize data storage, processing, and retrieval performance across cloud and on-premise platforms.</li>  <li style="">Stay up-to-date with industry trends and advancements in data engineering tools and best practices.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Required Skills &amp; Qualifications</b>:</div><ul>  <li style="">Proven experience as a Data Engineer, with a focus on data pipeline design, ETL, and data integration.</li>  <li style="">Strong proficiency in <b style="font-weight: 700">Azure Data Factory (ADF)</b> for creating and managing data pipelines.</li>  <li style="">Experience with <b style="font-weight: 700">Databricks</b> for building, optimizing, and deploying data pipelines and machine learning models.</li>  <li style="">Expertise in <b style="font-weight: 700">Microsoft Fabric</b> for managing and integrating data solutions across the Azure ecosystem.</li>  <li style="">Proficiency in <b style="font-weight: 700">Python</b>, with the ability to write clean, efficient, and reusable code.</li>  <li style="">Strong experience in writing and optimizing <b style="font-weight: 700">SQL</b> queries for complex data manipulation and analysis.</li>  <li style="">Hands-on experience with cloud platforms (preferably Azure), data lakes, and data warehousing concepts.</li>  <li style="">Familiarity with data modeling, data warehousing principles, and database technologies.</li>  <li style="">Experience with version control (e.g., Git) and CI/CD pipelines for data engineering tasks.</li>  <li style="">Strong problem-solving skills, attention to detail, and ability to work independently and in a team environment.</li>  <li style="">Excellent communication skills and the ability to work effectively in a collaborative environment.</li></ul><div style=""><br></div><h3 style="font-size: 1.17em">Required Technical Skills</h3><ul>  <li style="">Microsoft Fabric</li>  <li style="">Data warehouse and lakehouse methodologies including medallion architecture</li>  <li style="">Data ETL/ELT processes</li>  <li style="">Data profiling and anomaly detection</li>  <li style="">Data modeling (Dimensional/Kimball)</li>  <li style="">SQL expertise</li>  <li style="">Python experience (expertise not required, but would be nice)</li>  <li style="">Azure Databricks</li>  <li style="">Azure Data Factory</li>  <li style="">Power BI</li></ul>

Data Engineer - Fabric

<h3 style="font-size: 1.17em">Responsibilities</h3><ul>  <li style="">Designs, proposes, builds, and maintains databases and datalakes, data pipelines that transform and model data, and reporting and analytics solutions</li>  <li style="">Understands business problems and processes based on direct conversations with customers, can see the big picture, and translate that into specific solutions</li>  <li style="">Identifies issues early, proposes solutions, and tactfully raises concerns and proposes solutions</li>  <li style="">Participates in code peer reviews</li>  <li style="">Articulates clearly pros/cons of various tools/approaches</li>  <li style="">Documents and diagrams proposed solutions</li></ul><div style=""><br></div><div style=""><br></div><h3 style="font-size: 1.17em">Technical Skills</h3><ul>  <li style="">Data warehouse and lakehouse methodologies including medallion architecture</li>  <li style="">Data ETL/ELT processes</li>  <li style="">Data profiling and anomaly detection</li>  <li style="">Data modeling (Dimensional/Kimball)</li>  <li style="">SQL expertise</li>  <li style="">Python experience (expertise not required, but would be nice)</li>  <li style="">Microsoft Fabric</li>  <li style="">Azure Databricks</li>  <li style="">Azure Data Factory</li>  <li style="">Power BI</li></ul>

Data Engineer

<div style="">Job Responsibilities:</div><ul>  <li style="">Code emails in Emarsys ESP environment using HTML and Emarsys tags.</li>  <li style="">Integrate models from DS team using Emarsys and Snowflake data connections.</li>  <li style="">Use JIRA to manage email development tickets.</li>  <li style="">Dedicated PM to manage partnership between developers and BN email team, providing &nbsp;status updates of all projects. This person is the POC for all project discussions and help.</li>  <li style="">Development needs - average of 9 emails/per week over the year.</li>  <li style="">Ability to pick up and edit pre-built legacy emails and build email from scratch using creative Figma files.</li>  <li style="">QA media prior to sharing to reduce errors in layouts, copy and links</li></ul>

Email Campaign Developer 

<div style=""><b style="font-weight: 700">Must-Have Skills &amp; Qualifications:</b></div><ul>  <li style="">Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.</li>  <li style="">5+ years of experience in data engineering or a related role.</li>  <li style="">Proficiency in <b style="font-weight: 700">Apache Airflow</b> for workflow scheduling and management.</li>  <li style="">Strong experience with <b style="font-weight: 700">Hadoop</b> ecosystems, including HDFS, MapReduce, and Hive.</li>  <li style="">Expertise in <b style="font-weight: 700">Apache Spark/</b> <b style="font-weight: 700">Scala</b> for large-scale data processing.</li>  <li style="">Proficient in <b style="font-weight: 700">Python</b>&nbsp;</li>  <li style="">Advanced SQL skills for data analysis and reporting.</li>  <li style="">Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.</li>  <li style="">Strong analytical and problem-solving skills.</li>  <li style="">Excellent communication and collaboration abilities.</li></ul>

Senior Data Engineer

<ul>  <li style="">Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks</li>  <li style="">Design and build ETL pipelines using ADF</li>  <li style="">Build and maintain a Lakehouse architecture in ADLS / Databricks.</li>  <li style="">Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc.</li>  <li style="">Work with DevOps team to deploy solutions in production environments.</li>  <li style="">Control data processes and take corrective action when errors are identified. Corrective action may include executing a work around process and then identifying the cause and solution for data errors.</li>  <li style="">Participate as a full member of the global Analytics team, providing solutions for and insights into data related items.</li>  <li style="">Collaborate with your Data Science and Business Intelligence colleagues across the world to share key learnings, leverage ideas and solutions and to propagate best practices.</li>  <li style="">You will lead projects that include other team members and participate in projects led by other team members.</li>  <li style="">Apply change management tools including training, communication and documentation to manage upgrades, changes and data migrations.</li></ul><div style=""><br></div>

Consultant - Data Engineer (Databricks)

<div style="">Key Responsibilities:</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>

Principal Data Engineer - (Databricks)

<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">Work Mode:&nbsp;</b></div><ul>  <li style="">2 to 3 days a week will be work from client office in Gurugram/Hyderabad</li>  <li style="">Preferred Location - Gurugram/Hyderabad.&nbsp;</li>  <li style="">For other locations, candidate should be willing to travel to Gurugram/Hyderabad for a few days every month.</li></ul>

 Power BI Developer

<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>