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Mid-level generalist data role in Bangalore with broad skill requirements and known employer increases competition.
Core data engineering skills are highly transferable across industries.
Explicit 2–5 years plus mandatory data engineering stack makes filtering moderately strict.
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Develop and maintain production-ready ETL/ELT data pipelines and CI/CD workflows to support enterprise data processing needs.
Integrate AI and automation techniques into data engineering solutions to improve efficiency and scalability.
Collaborate in agile teams with cross-functional stakeholders to translate business requirements into technical data solutions impacting scrum deliverables.
2-5 years of experience in data engineering, data development, or related technical field.
Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline.
Proven experience building production ETL/data pipelines and working with data orchestration platforms (e.g., Airflow, Azure Data Factory, SSIS).
On-site work location required: Bengaluru, Karnataka.
Strong intermediate Python programming skills including use of decorators, generators, and design patterns for reusable component development.
Experience with cloud data platforms (Azure, AWS, or GCP) and big data processing frameworks like Apache Spark or PySpark.
Familiarity with agile development processes and effective communication in cross-functional teams to align data solutions with business objectives.