Data Engineer

Skilzmatrix

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profile Job Location:

Pittsburgh, PA - USA

profile Monthly Salary: Not Disclosed
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

Key Responsibilities
  • Design build and maintain scalable data pipelines using AWS cloud services.
  • Develop and optimize ETL/ELT workflows for structured and semi-structured data.
  • Write complex SQL queries for data transformation validation and analytics.
  • Build data processing jobs using Python and PySpark.
  • Integrate and manage data in Snowflake cloud data warehouse.
  • Support Power BI dashboards by delivering curated analytics-ready datasets.
  • Ensure data quality governance performance and security best practices.
  • Collaborate with analytics reporting and business teams in an agile environment.
Required Skills
  • SQL (advanced querying performance tuning)
  • Data Engineering & Data Pipelines
  • Python PySpark
  • Snowflake
  • AWS Services (S3 Glue EMR Lambda Redshift any combination)
  • Power BI (data modeling performance optimization support)
Good to Have
  • Financial services / banking domain experience (BNY preferred)
  • CI/CD pipelines for data workloads
  • Data quality frameworks
  • Agile / Scrum experience
Key Responsibilities Design build and maintain scalable data pipelines using AWS cloud services. Develop and optimize ETL/ELT workflows for structured and semi-structured data. Write complex SQL queries for data transformation validation and analytics. Build data processing jobs using ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala