Back
Popular mid-level Data Engineer role in Bengaluru with common tech requirements creates high candidate competition.
Core data engineering skills transfer across industries, though ML and real-time pipeline experience adds moderate domain bias.
Explicit 5–7 years plus mandatory Spark, cloud, and Airflow skills creates stringent filtering criteria.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable batch and real-time data pipelines and ETL/ELT workflows for multiple data sources.
Develop and optimize data models, warehouses, and lakes ensuring data quality, performance, and cost efficiency.
Collaborate with Data Science and ML teams to prepare datasets and support data platform evolution and monitoring.
5–7 years of experience in Data Engineering or a similar role.
Strong programming skills in Python or a comparable language.
Hands-on experience with SQL, ETL/ELT pipelines, Spark/PySpark, and cloud platforms such as AWS, Azure, or GCP.
Experience with workflow orchestration tools like Airflow or Dagster, and a solid understanding of data warehousing, data lakes, and distributed systems.
Experienced in handling large-scale, distributed datasets and optimizing data workflows for scalability and efficiency.
Demonstrated ability to integrate and collaborate cross-functionally with Data Science, Machine Learning, and Product teams.
Skilled in software engineering best practices including CI/CD, version control (Git), and maintaining documentation in complex data environments.