Data Engineer

Role: Data Engineer - ETL with Python, Spark & Hadoop Location: Pittsburg (Day one Onsite) Rate : 62 Client: Bank of NY USC. or L2 EAD s) Responsibilities. Organize business needs into ETL/ELT logical models and ensure data structures are designed for flexibility to support scalability of business solutions Craft and implement data pipelines utilizing Spark and Python Define and deliver. Reusable components for ETL/ELT framework. Define optimal data flow for system integration and data migration Integrate new data management technologies and software engineering tools into existing structures Design, build and maintain CI/CD pipelines in multiple integration and test environments Install, configure and manage automated testing tools in the environment Qualifications Experienced in Design, Development, and Implementation of large-scale projects in financial industries using Data Warehousing ETL tools (Spark) Experience in creating ETL transformations and jobs using PySpark and automating workflows using Orchestration tools like Airflow, Control-M Strong knowledge and experience of SQL, Python and Spark Experience with Big Data/distributed frameworks such as Spark, Kubernetes, Hadoop, and Hive Ability to design ETL/ELT solutions based on user reporting and archival requirements Strong sense of customer service to consistently and effectively address client needs Self-motivated; comfortable working independently under general direction Hands-on experience in building and managing CI/CD pipelines Basic knowledge of Azure Cloud Components

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