Data Engineer

We have partnered with our client in their search for a Data Engineer in Plano, TX.

• Design, build, and maintain scalable data pipelines to support real-time, batch, and streaming data processing using tools such as Python, Java, Spark, and Kafka.
• Develop and optimize ETL/ELT workflows for ingesting, transforming, and integrating large datasets from multiple internal and external sources.
• Create and maintain data models (logical and physical) to support analytics, reporting, and application development.
• Implement robust data quality processes including validation rules, anomaly detection, monitoring, and automated data checks.
• Ensure data compliance and governance by adhering to JPMorgan Chase standards for security, data privacy, metadata management, data lineage, and audit requirements.
• Collaborate with cross-functional teams including data scientists, analysts, software engineers, business stakeholders, and architects to deliver high-quality data solutions.
• Optimize performance of data pipelines, distributed systems, and storage solutions to ensure reliability and scalability.
• Contribute to modern data platform initiatives
  , including cloud migration, big data architecture, and adoption of new data technologies.
• Develop automation and CI/CD processes for deployments, testing, and monitoring of data engineering solutions using tools such as Jenkins, Git, and Terraform.
• Troubleshoot and resolve pipeline issues
  , ensuring stability, accuracy, and timely delivery of data across the organization.

• Experience on AWS technologies like S3, AWS Glue, EMR, and IAM roles/permissions
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, Spark
  
  SQL, Scala)
• Experience working with relational database such as Teradata and handling both structured and unstructured datasets
• Proficiency in SQL, Python
• Experience with No
  
  SQL, non-relational databases / data stores (e.g., object storage, document or key-value stores, graph databases, column-family databases)
• Experience with Snowflake and Databricks
• Proficiency in tools such as SQL, Python, Tableau or Power BI
• Understanding of financial industry metrics and business processes
• AWS Cloud Practitioner or Developer certifications

5+ years of experience with data modeling, warehousing, analysis & data profiling experience and ability to identify trends and anomalies in the data

Title Data Engineer

Location Plano, TX

Client Industry Fintech

1687383