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Software Engineer

Job Description : What You'll Do : - Data Architecture & Design : Lead the design and implementation of robust, scalable, and efficient data architectures and solutions within the Azure ecosystem. - ETL/ELT Development : Develop, optimize, and maintain complex ETL/ELT processes and data pipelines using Azure Data Factory, Databricks, and PySpark to ingest, transform, and load data from various sources. - Data Modeling : Apply strong data modeling skills to design relational and dimensional data models for optimal performance and usability. - Performance Optimization : Identify and resolve performance bottlenecks in data pipelines and queries, ensuring efficient data processing and delivery. - Azure DevOps Integration : Leverage Azure DevOps for continuous integration, continuous delivery (CI/CD), and version control of data engineering workflows. - Collaboration & Communication : Collaborate effectively with data scientists, analysts, business stakeholders, and other engineering teams to understand data requirements and deliver impactful solutions. - Requirement Analysis : Proactively engage in requirement discussions, asking the right set of questions to clarify understanding and anticipate challenges. - Data Quality & Governance : Contribute to data quality initiatives, ensuring data accuracy, consistency, and adherence to governance standards. - Reporting & Visualization Support : Work closely with business intelligence teams to ensure data is optimized for reporting and visualization tools like Power BI. - Mentorship : Provide technical guidance and mentorship to junior data engineers. Required Skills & Experience : - Experience : 8+ years of experience in the field of data engineering, data architecture, and ETL Architecture. - Data Architecture & Design : Good understanding of data architecture principles, solution design, and data modeling techniques (dimensional modeling, relational modeling). - SQL : Expert-level proficiency in SQL for complex querying, data manipulation, and performance tuning. - ETL Tools : Extensive hands-on experience with SSIS (SQL Server Integration Services) and/or modern ETL/ELT tools. - Databricks & PySpark : Proven strong experience with Databricks and PySpark for big data processing and analytics. - Business Intelligence : Experience or strong understanding of how data is used in reporting and visualization tools, particularly Power BI. - Communication : Very good communication skills, with the ability to communicate effectively with global stakeholders across technical and non-technical audiences. - Requirement Elicitation : Demonstrated ability to understand complex requirements and ask probing questions to gain clarity in requirement discussions. Good to Have Skills : - Snowflake : Experience with Snowflake data warehousing. - Scala : Proficiency in Scala programming. - Python : Additional proficiency in Python for general scripting, data analysis, or MLOps.

Bangalore

IAST Software Solution - Senior Data Engineer (8-10 yrs)

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