Senior Data Engineer - Remote

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 systems. Strong hands-on experience in ETL development and enterprise data integration projects. Expertise in IBM DataStage and data warehousing concepts. Strong SQL development and query optimization experience. Proficiency in UNIX/Linux shell scripting and system-level operations. Strong programming experience in Python and/or Java. Knowledge of real-time data pipeline development and streaming architectures. Experience with scheduling and orchestration tools such as Airflow, Autosys, Control-M, or equivalent. Experience supporting production environments including incident management, debugging, monitoring, and performance tuning. Strong analytical, troubleshooting, and communication skills.