Senior Data Engineer - Remote

About this role

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Maxima Technologies, LLC, is seeking the following. Apply via Dice today!


Role : Senior Data Engineer
Duration : 06+ Months
Remote
Skills : Hadoop, Spark, Kafka, DataStage
Domain : Banking is Must
Key Responsibilities:

• Build and support real-time and batch-based data pipelines using Big Data distributed systems and streaming technologies.
• Design, develop, test, and maintain scalable ETL and ELT pipelines for processing large volumes of structured and unstructured data.
• Develop data ingestion, transformation, and orchestration workflows using ETL tools such as IBM DataStage and modern scheduling/orchestration platforms.
• Write complex SQL queries, stored procedures, and optimization logic for high-performance data processing.
• Work extensively in UNIX/Linux environments for scripting, job automation, file handling, monitoring, and troubleshooting.
• Develop and maintain applications using programming languages such as Python and Java for automation, data processing, and integration tasks.
• Monitor production data pipelines, troubleshoot failures, perform root cause analysis, and provide production support within SLA timelines.
• Implement best practices for data quality, validation, reconciliation, logging, monitoring, and operational support.
• Work with orchestration and scheduling tools such as Airflow, Control-M, Autosys, or equivalent workflow automation platforms.
• Support cloud and Big Data initiatives involving Hadoop, Spark, Kafka, distributed processing systems, and real-time streaming frameworks.
• Participate in code reviews, technical design discussions, and Agile/Scrum ceremonies.

Required Qualifications:

• Must have 14+ years work experience in successful delivery of complex data related projects end to end.
• Experience with Big Data technologies such as Hadoop, Spark, Kafka, Hive, or distributed computing...