Tech Lead MAHIN-JOB-34017

Keylent, Inc.

$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in data engineering roles.
  • Proficiency with ETL tools such as Informatica, Talend, or DataStage.
  • Experience with Google Cloud Platform, particularly BigQuery.
  • Hands-on experience migrating ETL jobs to Dataflow or Dataproc.
  • Strong skills in Linux/Unix shell scripting and SQL.
  • Familiarity with data modeling and database design principles.
  • Background in Agile methodologies.

Responsibilities

  • Design and develop data integration solutions using ETL tools.
  • Convert existing ETL jobs into Dataflow or Dataproc workflows.
  • Implement and maintain data warehouse and data lake architectures.
  • Troubleshoot and resolve complex data-related issues.
  • Collaborate with cross-functional teams to deliver data solutions efficiently.

Benefits

  • Opportunity to work with cutting-edge technology in cloud data solutions.
  • Engagement in a dynamic work environment focused on innovation.
  • Possibility for personal growth and skill enhancement in data engineering.
  • Participation in Agile team environments promoting collaboration.
Full Job Description
Tech Lead MAHIN-JOB-34017
Job Title: ETL Talend Developer
Location: Dearborn, MI
Experience: 10 Years

Job Details
  • Tech stack: BigQuery , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc
  • 3-5 years Experience in Data warehouse and Data lake implementation
  • 1-2 years of experience in Google Cloud Platform (especially Big Query).
  • 1-2 years of working experience in converting ETL jobs( in Informatica/Talend,/DataStage) into Dataflow or Dataproc and migrated in CI\CD pipeline
  • Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery.
  • Proficiency in Linux/Unix shell scripting and SQL.
  • Knowledge of data Modelling, database design, and the data warehousing ecosystem.
  • Ability to troubleshoot and solve complex technical problems.
  • Excellent analytical and problem-solving skills.
  • Knowledge of working in Agile environments.

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