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Mid-seniority Bangalore Data Engineer with broad Java+GCP skillset creates moderate candidate competition.
Specialized GCP and Java Big Data skills moderately limit cross-industry transferability.
Explicit 6–9 years plus mandatory Java, Spark and GCP skills enforce strict shortlisting.
Design, develop, and maintain scalable ETL/ELT data pipelines using Java-based big data frameworks on GCP.
Build and optimize batch and streaming data processing solutions leveraging Dataproc, Dataflow, and Apache Spark.
Collaborate with cross-functional teams to deliver robust data solutions while participating in code reviews, mentoring, and sprint planning.
6 to 9 years of hands-on experience in data engineering with strong Java programming skills.
Proficiency in Big Data technologies including Apache Spark (Java/Scala), Hadoop, Hive, and data warehousing concepts.
Hands-on experience with GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.
Strong SQL skills, experience with Linux/Unix environments and scripting (Bash or similar).
Experienced in designing and optimizing scalable, fault-tolerant data processing architectures on GCP.
Demonstrated ability to build distributed Java data processing applications and work with batch and streaming data pipelines.
Familiarity with workflow orchestration (Airflow/Cloud Composer), cloud migration projects, and DevOps practices in cloud environments.