Why This Role Stands Out
This hybrid Senior Data Engineer role offers a fantastic opportunity to leverage your extensive experience with Python, SQL, and cloud platforms to build impactful, scalable data solutions. You'll thrive here if you possess a deep understanding of data warehousing, ETL/ELT, and distributed processing, and are eager to contribute to innovative projects within a dynamic tech environment. Apply today to shape the future of data at Raas Infotek LLC!
Quick Overview
Job Description
Senior Data Engineer
Experience: 12+ Years
Job Type: W2 Contract
Job Summary
We are looking for an experienced Senior Data Engineer with 12+ years of experience in data engineering, ETL/ELT, data integration, cloud platforms, and database technologies. The candidate will be responsible for developing scalable data pipelines, data migration solutions, and supporting enterprise data platforms.
Required Skills
12+ years of experience in Data Engineering and ETL/ELT
Strong expertise in SQL, Python, and database development
Hands-on experience with Informatica PowerCenter, IICS/IDMC, SSIS, or similar ETL tools
Strong experience with Oracle, SQL Server, Snowflake, Teradata, or DB2
Experience with Databricks, PySpark, and big data processing
Cloud experience with AWS, Azure, or Google Cloud Platform
Experience in data migration, integration, transformation, and data quality
Knowledge of ETL performance tuning, optimization, error handling, and reconciliation
Experience working with JSON, XML, CSV, Parquet, APIs, and other data formats
Experience with Git, CI/CD, and Agile/Scrum
Responsibilities
Design and develop scalable ETL/ELT data pipelines.
Develop complex SQL queries, stored procedures, and data transformations.
Build data integration and migration solutions across multiple platforms.
Develop Python/PySpark-based data processing workflows.
Perform data validation, reconciliation, and quality checks.
Optimize data pipelines and database performance.
Troubleshoot production data issues and provide root-cause analysis.
Work with cloud data platforms and modern data engineering technologies.
Collaborate with application, business, DBA, reporting, and cloud teams.
Participate in code reviews, technical design, testing, and Agile ceremonies.
Preferred Skills
Snowflake / Databricks
AWS / Azure / Google Cloud Platform
Informatica / IICS / IDMC
Python / PySpark
Data Warehousing and Dimensional Modeling
Kafka or other messaging technologies
Airflow or similar workflow orchestration tools
Terraform / DevOps / CI-CD
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