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Mid-level, generalist Data Engineer role in Mumbai at a well-known multinational with broad GCP skillset.
Data engineering skills on GCP are broadly transferable across industries despite some domain preferences.
Explicit 5–7 years plus mandatory GCP, Spark, Python, and ETL tooling makes shortlisting strict.
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Design, develop, and maintain scalable data pipelines, APIs, and ingestion frameworks on Google Cloud Platform (GCP).
Integrate diverse data sources into a unified data platform, supporting analytics, migration, and modernization initiatives.
Implement and govern data quality, ETL/ELT processes, data models, and enable enterprise-wide analytics and self-service reporting.
5–7 years of relevant Data Engineering and Cloud Data Platform experience.
Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or related quantitative field.
Strong programming skills with Python, PySpark, SQL; experience with Spark, Hadoop, Hive, and Big Data ecosystems.
Hands-on experience with Google Cloud Platform services (BigQuery, Dataflow, Dataproc, Pub/Sub) and data integration tools (Ab Initio, Informatica, DataStage).
Experienced in cloud migration and modernization projects on GCP, including legacy and on-premises data environments.
Proficient in data warehouse solutions, data modeling, dimensional modeling, and performance optimization.
Capable of working in Agile environments, mentoring junior engineers, and managing cross-functional stakeholder collaboration.