Strong expertise in Hadoop ecosystem – HDFS, Hive, Spark(PySpark/Scala), MapReduce
Hands-on experience with Sqoop for data ingestion
Strong programming skills in Python / Scala / Java
Advanced knowledge of SQL and query optimization
Experience in data lake architecture and maintenance
Strong understanding of distributed computing and parallel processing
Experience in ETL/ELT pipeline design and optimization
Exposure to cloud migration strategies and readiness planning
Experience with data governance tools and frameworks
Knowledge of CI/CD pipelines and DevOps practices
Nice-to-have skills: Experience with cloud platforms (GCP preferred – Dataproc, BigQuery, Cloud Storage)
Familiarity with workflow orchestration tools (Airflow / Cloud Composer)

Overall 8 + years with 7-10 years of relevant work experience in Big Data/Hadoop
B.Tech., M.Tech. or MCA degree from a reputed university

Big Data Engineer

Key skills