Data Engineer

Saransh Inc

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

Tittle:Data Engineer
Location: Seattle WA
job Description
  • 6 years of data engineering experience
  • 3 year of experience working in a data engineering data science or software engineering capacity
  • Expertise in writing and maintaining robust data pipelines in SQL and Python
  • A track record of turning data requirements from stakeholders into actionable plans
  • Experience with cloud-native solutions
  • A history of implementing and upholding best practices in data pipelines ensuring accuracy consistency and reliability
Preferred qualifications:
  • 5 years of experience in data warehousing data modelling and building/maintaining ETL/ELT pipelines at scale.
  • Extensive experience with AWS Google Cloud Platform (GCP) or Azure.
  • Proficiency in Apache Spark Kafka NoSQL databases and orchestration tools like Apache Airflow.
  • Strong skills in Python Java or Scala.
  • Deep knowledge of SQL and specifically experience with Snowflake Data bricks or Redshift.
TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health Dental & Vision Disability Planning & Insurance Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation Time Off Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance 401K Plan Performance Bonus College Fund Student Loan Refinancing.K
Tittle:Data Engineer Location: Seattle WA job Description 6 years of data engineering experience 3 year of experience working in a data engineering data science or software engineering capacity Expertise in writing and maintaining robust data pipelines in SQL and Python A track record of turnin...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala