Data Engineer

Role: Data Engineer  ( Banking Experience is a Must )
Location: Dallas, TX (Need locals to Texas)
Rate: $65/hr on C2C
Experience: 10 Years

• • Experience migrating data from different sources
  • Python Scripting is a must
  • Database experience on Python
  • Datawarehouse experience
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• This is the detailed job description for Data Engineer Roles

The Data Engineer is responsible for developing and supporting advanced reports that provide accurate and timely data for internal and external clients and senior management. The incumbent will design and grow a data infrastructure that powers our ability to make timely and data-driven decision. This role requires familiarity of data architecture and extraction & manipulation of data sets of large sizes.  provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure and cost-effective. The Data Engineer III delivers data solutions that are customer focused, easy to consume and create business impact. The incumbent has extensive experience in the design, creation, management, and business use of large datasets and has a strategic and long-term view on architecting advanced data echo systems.

• Contribute to the architecture and implementation of next generation data and BI solutions from the ground up.
• Review code to ensure performance and reliability of data extraction and processing.
• Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.
• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging big data tools.
• Create data products for analytics and data scientist team members to improve their productivity.
• Design, develop and build real-time data pipelines from a variety of sources (streaming data, APIs, data warehouse, messages etc.)
• Leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof software
• Manage existing pipelines and create new pipelines from a variety of sources (relational, XML, etc.)

Design and build solutions to track data quality, stabilize data pipeline, etc. to ensure reliable operations.