- Senior Engineer - Data Engineering, with Software Development domain having 5.0-8.0 experience in SQL, demonstrating advanced skills in writing complex queries, optimizing performance, and performing data manipulation and extraction.
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This role requires a strong understanding of data architecture and data modeling, enabling the design and implementation of data flows for diverse analytics purposes.
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Familiarity with ETL processes is essential, showcasing the ability to develop and maintain data pipelines that ensure data accuracy and availability for analytics and reporting needs.
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Candidates are expected to understand various ETL tools and frameworks, integrating data from multiple sources to enhance the efficiency of data operations.
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A Master of Technology (M.Tech) in Data Science or Data Engineering, or a Bachelor of Technology (B.Tech) in Computer Science or Information Technology is required, with certifications such as Certified Data Professional (CDP) and AWS Certified Data Analytics – Specialty being preferred.
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Experience with version control systems, particularly Git, alongside a strong understanding of Data Engineering principles and best practices, is good to have.
Airflow, AWS, AWS Redshift, Big data ( Hadoop, GCP, PySpark ), Data Engineering, ETL, ETL Engineer, PySpark, Python, SQL
