- 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.
- This role requires a strong understanding of data architecture and data modeling, enabling the design and implementation of data flows for diverse analytics purposes.
- 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.
- Candidates are expected to understand various ETL tools and frameworks,
integrating data from multiple sources to enhance the efficiency of data operations.
- 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.
- Experience with version control systems, particularly Git, alongside a robust understanding of Data Engineering principles and best practices, is good to have.
Skills
PySpark, ETL, SQL, Data Engineering, Python, Airflow
📌 Senior Engineer - Data Engineering (India)
🏢 Altimetrik
📍 India
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