Senior ETL Engineer
Senior ETL Engineer
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Job Description
Location: Charlotte NC (Onsite)
Duration: 12 months
Employment Type: W2 contract
We are seeking a highly skilled Senior ETL Engineer to join our dynamic Data Integration team in Charlotte NC.
The ideal candidate will have extensive experience in designing developing and optimizing ETL (Extract Transform Load) processes to support enterprise data warehousing and analytics initiatives.
You will collaborate with cross-functional teams to ensure seamless data integration improve data quality and enhance business intelligence capabilities. Key Responsibilities
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Design develop and maintain scalable ETL workflows using tools like Informatica PowerCenter IBM DataStage or Talend.
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Optimize and tune SQL queries stored procedures and ETL jobs for performance and efficiency.
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Work with large-scale data warehouses (e.g. Snowflake Teradata Oracle SQL Server) and cloud platforms (e.g. AWS Azure GCP).
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Implement data quality checks error handling and logging mechanisms.
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Collaborate with data architects business analysts and BI teams to understand requirements and deliver solutions.
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Automate ETL processes using scripting languages (Python Shell PowerShell).
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Ensure compliance with data governance security policies and regulatory standards.
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Mentor junior engineers and provide technical leadership in ETL best practices.
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5 years of hands-on experience in ETL development and data integration.
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Strong expertise in SQL PL/SQL or T-SQL with complex query optimization.
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Proficiency in ETL tools (Informatica DataStage SSIS Talend) and scheduling tools (Autosys Control-M).
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Experience with big data technologies (Hadoop Spark Kafka) is a plus.
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Knowledge of cloud-based data solutions (AWS Glue Azure Data Factory Snowflake).
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Familiarity with Agile/Scrum methodologies and CI/CD pipelines.
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Strong problem-solving skills and ability to troubleshoot data pipeline issues.
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Bachelors or Masters degree in Computer Science Engineering or related field.
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Experience in financial services or banking domains.
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Certifications in ETL tools cloud platforms or data engineering.
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Knowledge of real-time data processing and streaming ETL.
Employment Type
Full Time
