Servify - Data Engineer (3-5 yrs)

Job Description :

Roles & Responsibilities :

- Design, develop, and optimize data pipelines for efficient data integration, transformation, and storage.

- Implement and migrate ETL workflows across various platforms such as SQL Server, ADF, Synapse, Databricks, and SSIS.

- Collaborate with stakeholders to architect scalable and high-performance data solutions, ensuring alignment with business needs.

- Monitor, troubleshoot, and enhance the performance of data pipelines and databases to ensure timely and accurate data delivery.

- Maintain data quality, integrity, and governance standards while continuously optimizing data workflows for efficiency.

Required Skills :

- 3+ years of experience in data engineering, with hands-on expertise in building, optimizing, and maintaining data pipelines across multiple platforms.

- Proficiency in designing, building, and optimizing ETL pipelines using technologies like Azure Data Factory, SQL Server, Synapse, Databricks, and SSIS.

- Expertise in SQL, including complex queries, stored procedures, and query optimization techniques.

- Strong knowledge of SSIS, including package creation, performance tuning, and migration of legacy SSIS workflows to modern platforms like ADF and Databricks.

- Solid understanding of data warehousing, cloud-based data platforms (e.g., Azure, Databricks), and best practices for data governance and security.

- Familiarity with Databricks for data processing, analytics, and building machine learning models within the data pipeline.

- Excellent problem-solving, communication, and collaboration skills with experience in agile and cross functional teams.