Job Description

We are looking for a Senior Hadoop Developer with strong experience in Big Data, Hadoop/Cloudera, Spark, Python, SQL, and ETL to design, develop, and support scalable data solutions in a production environment.

Roles and Requirements

• 4+ years of experience in Big Data and data warehousing.
• Strong hands-on experience with Hadoop/Cloudera, HDFS, Hive, and Spark/PySpark.
• Proficiency in Python, Scala, SQL, and Unix/Shell scripting.
• Strong experience in ETL, data ingestion, transformation, and integration.
• Experience with complex SQL query optimization and performance tuning.
• Experience with AutoSys or similar enterprise scheduling tools.
• Strong understanding of distributed systems and large-scale data processing.
• Experience supporting production Big Data applications and troubleshooting critical issues.
• Understanding of Agile methodologies and enterprise development/operational processes.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Experience designing analytical/data warehouse environments and BI solutions.
• Financial services/banking experience preferred.

Primary Responsibilities

• Develop and maintain scalable Hadoop/Spark-based data pipelines.
• Support data ingestion from multiple source systems.
• Develop ETL and data transformation solutions using Hive, Spark, Python, and SQL.
• Optimize SQL queries and Big Data jobs for performance.
• Troubleshoot production issues and perform root-cause analysis.
• Support scheduling, monitoring, and operational processes.
• Collaborate with architects, developers, analysts, and business teams.
• Evaluate and adopt emerging Big Data technologies where appropriate.

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