AI Summary
Design, develop, and maintain data pipelines and ETL/ELT workflows supporting batch and real-time data processing. Build scalable data infrastructure and implement modern data storage solutions. Ensure reliable data delivery for reporting and downstream applications.
Key Highlights
Design and develop ETL/ELT workflows and data pipelines
Implement operational and analytical data stores
Collaborate with architects and engineering teams
Key Responsibilities
Design and develop ETL/ELT workflows and data pipelines
Build and maintain data pipelines for reporting and downstream applications
Optimize data structures for performance and scalability
Technical Skills Required
Benefits & Perks
W2 Only
Visa Sponsorship Available
18+ Month contract
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Strategic Staffing Solutions, is seeking the following. Apply via Dice today!
STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!
This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.
Beware of scams. S3 never asks for money during its onboarding process.
Job Title: Senior Data Engineer
Contract Length: 18+ Month contract
Location: WEST DES MOINES, IA 50266
Work Schedule: 3 days onsite/ 2 days remote
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The Data Engineer will design, develop, and maintain data pipelines and ETL/ELT workflows supporting batch and real-time data processing. This role focuses on building scalable data infrastructure, implementing modern data storage solutions, and ensuring reliable data delivery for reporting and downstream applications.
Key Responsibilities
- Design and develop ETL/ELT workflows and data pipelines for batch and real-time processing.
- Build and maintain data pipelines for reporting and downstream applications using open source frameworks and cloud technologies.
- Implement operational and analytical data stores leveraging Delta Lake and modern database concepts.
- Optimize data structures for performance and scalability across large datasets.
- Collaborate with architects and engineering teams to ensure alignment with target state architecture.
- Apply best practices for data governance, lineage tracking, and metadata management, including integration with Google Dataplex for centralized governance and data quality enforcement.
- Develop, schedule, and orchestrate complex workflows using Apache Airflow, including designing and managing Airflow DAGs.
- Troubleshoot and resolve issues in data pipelines to ensure high availability and reliability.
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- Strong understanding of data structures, data modeling, and lifecycle management.
- Hands-on experience designing and managing ETL/ELT data pipelines.
- Advanced PySpark skills for distributed data processing and transformation.
- Experience implementing open table formats using NetApp Iceberg.
- Knowledge of the Hadoop ecosystem, including HDFS and Hive.
- Experience with cloud platforms, including Google Cloud Platform (BigQuery, Dataflow), Delta Lake, and Dataplex for governance and metadata management.
- Programming and orchestration using Python, Spark, and SQL.
- Strong experience with Apache Airflow, including authoring and maintaining DAGs for complex workflows.
- Strong understanding of relational and distributed database systems and reporting concepts.
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