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High due to strong brand, generic Data Engineer title, mid-level experience range, metro location, and broad skill requirements.
Low because core Python, SQL, Spark, and cloud data engineering skills transfer across industries.
High due to explicit 2-5 years requirement and mandatory data engineering, cloud, and tooling skills.
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Develop and maintain production-grade ETL/ELT data pipelines incorporating AI and automation to enhance efficiency and scalability.
Build and optimize CI/CD pipelines for data workflows while ensuring data validation, error handling, and monitoring in production environments.
Collaborate with cross-functional teams including product managers and analysts to translate business needs into technical data engineering solutions that support organizational objectives.
Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline.
2-5 years of experience in data engineering, data development, or related technical field with proven production ETL/data pipeline experience.
Intermediate Python programming skills, solid SQL proficiency, and experience with cloud data services (Azure, AWS, or GCP).
On-site work location in Bengaluru, Karnataka.
Proficient in designing scalable data architectures using data warehousing, data modeling, and cloud services within enterprise environments.
Experienced in agile development workflows with a track record of effectively collaborating with cross-functional stakeholders.
Capable of integrating AI and automation techniques into data engineering solutions to drive strategic business value.