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Data Engineer-Remote

Roles & Responsibilities

  • 2+ years of experience as a Data Engineer in a similar role
  • Advanced working knowledge of SQL (e.g., Microsoft SQL Server, PostgreSQL, MySQL, etc.)
  • Experience building automated ETLs (e.g., Alteryx, Apache Airflow/Beam/NiFi, dbt, Dataiku, AWS Glue, etc.)
  • Experience building BI dashboards (e.g., Power BI, Tableau, Sisense, etc.)

Requirements:

  • Design, build, maintain, debug, and improve data pipelines
  • Assemble large, complex data sets
  • Create business intelligence dashboards
  • Build, improve and maintain data infrastructure documentation and data dictionaries

Job description


Data Engineer
Duration: 6+ Months
Location: Remote

No 3rd Party CTC

JOB DESCRIPTION :
  • We are seeking a skilled Data Engineer to join our Data Science team under the Consumer organization.
  • The Data Engineer will work with data from all parts of the company like netops, field ops, call centers, sales, and finance.
  • The ideal candidate will build automated data pipelines and data wrangle Big Data.
RESPONSIBILITIES:
  • Design, build, maintain, debug, and improve data pipelines
  • Assemble large, complex data sets
  • Create business intelligence dashboards
  • Build, improve and maintain data infrastructure documentation and data dictionaries
  • Support the Data Science team by providing clean, reliable, and timely data for building predictive models for churn, customer lifetime value, upgrade propensity, and customer satisfaction.
REQUIRED QUALIFICATIONS:
  • 2+ years of experience as a Data Engineer in a similar role
  • Advanced working knowledge of SQL (e.g., Microsoft SQL Server, PostgreSQL, MySQL, etc.)
  • Experience building automated ETLs (e.g., Alteryx, Apache Airflow/Beam/NiFi, dbt, Dataiku, AWS Glue, etc.)
  • Experience building BI dashboards (e.g., Power BI, Tableau, Sisense, etc.)
  • Experience working in data warehouses & data lakes (e.g., Teradata, Data Bricks, Snowflake, etc.)
  • Experience working in cloud platforms (e.g., AWS, Azure, GCP)
  • Familiar with Python and Jupyter notebooks
  • Experience wrangling with large, messy, and undocumented datasets
  • Excellent communication and teamwork abilities.

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