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Role Overview:
Join one of our clients, a global leader in the Technology industry, as a Data Engineer and play a pivotal role in designing, developing, and optimizing robust data pipelines and warehousing solutions. This contractor position involves collaborating with cross-functional teams to understand data requirements and deliver reliable data solutions. The ideal candidate will utilize their expertise in MySQL, Python, ETL, and data warehousing to drive data-driven decision-making and enable impactful business insights.
Key Responsibilities:
• Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources.
• Develop and optimize logical and physical data models within modern data warehousing environments.
• Collaborate closely with cross-functional teams to understand data requirements and deliver reliable data solutions.
• Monitor, troubleshoot, and enhance data infrastructure for optimal performance and scalability.
• Ensure data accuracy, consistency, and reliability across various data sources.
Required Skills & Qualifications:
• Proficiency in MySQL, Python, and ETL (Extract, Transform, Load) concepts.
• Strong understanding of data warehousing and data modeling principles.
• Experience with data pipelines and ETL tools.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
More About the Opportunity:
This contractor position offers the opportunity to work with a global leader in the Technology industry, leveraging cutting-edge technologies to drive data-driven decision-making. The ideal candidate will have a passion for clear, effective communication and a commitment to excellence.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!
Job ID: 149015951
Skills:
Apache Airflow, Spark, Python, Spark Scala, Data Platform Management, Data Layer Design, dbt, Google Cloud Ecosystem, Google Cloud Services, Data Pipeline Development
Skills:
data warehouses , Data lakes, Data architectures, Data pipelines, Machine learning models, Analysis algorithms
Skills:
Spark SQL, Pyspark, Performance Tuning, SQL Server, Databricks, SSIS, Azure, ELT, AWS, Etl, SQL stored procedures
Skills:
BigQuery, Google Cloud Platform, Automated Testing, PowerShell, SQL Server, Version Control, Agile, Scrum, Ansi Sql, DataFlow, Python, Azure DevOps, ETL ELT Development, Looker, Data Integration Transformation, CI CD, Kimball Data Warehouse Modeling, Pub Sub, Data Pipeline Design Development, Microstrategy, WhereScape
Skills:
Java, Cloud Storage, BigQuery, Google Cloud Platform, Pyspark, Apache Spark, DataFlow, Python, Sql, Pub Sub
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