The candidate must demonstrate proficiency in,

 

·      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

·      Experience with cloud platforms (GCP preferred – Dataproc, BigQuery, Cloud Storage)

·      Familiarity with workflow orchestration tools (Airflow / Cloud Composer)