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This position involves designing, developing, and optimizing data solutions, including advanced data pipelines and architectures. The ideal candidate will collaborate across teams to ensure seamless data integration and delivery while driving the transformation of our systems to support cutting-edge business initiatives.
Job Responsibility:
Build and optimize data pipelines using Python, SQL, and cloud integration tools
Design and implement ETL/ELT workflows across diverse data sources
Collaborate with cross-functional teams to define data transformation requirements
Troubleshoot and tune complex SQL queries and data models
Ensure data quality through validation processes and automation
Maintain and enhance data infrastructure using AWS services and Snowflake
Support continuous improvement and job orchestration initiative
Requirements:
Bachelor’s degree in Computer Science, Engineering, or related field
8+ years of experience in data engineering, ETL, and data warehousing
Advanced SQL skills and experience with relational and cloud databases
Hands-on experience with Snowflake, AWS (EC2, S3, Lambda, etc.), and ETL tools like Matillion, Talend, or Informatica Cloud
Familiarity with GitHub, Spark, Hadoop, NoSQL, APIs, and streaming platforms
Proficiency in Python, Java, or Scala
Experience with Agile/Scrum methodologies
What we offer:
medical, vision, dental, and life and disability insurance
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