Hybrid Data Engineer I – Azure, Databricks, ETL

Posted 12 hours ago

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About the role

  • Data Engineer I managing data engineering functions like modeling, profiling, and ETL using Azure and Databricks. Requires a degree and 2+ years of relevant experience to provide effective data solutions.

Responsibilities

  • Provides a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage
  • Performs moderately complex technical tasks independently
  • Supports the acquisition and ingestion of data
  • Elicits, analyzes, and understands business and data requirements to develop complete business solutions
  • Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines
  • Provides support to the development and testing teams to resolve data issues

Requirements

  • Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
  • 2+ years of relevant experience
  • Databricks
  • Azure
  • Python
  • PySpark
  • ADF
  • Data Products
  • Banking domain experience strongly desired

Benefits

  • Health and well-being benefits
  • Savings and retirement programs
  • Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
  • Banking benefits and discounts
  • Career development and reward and recognition programs

Job title

Data Engineer I – Azure, Databricks, ETL

Job type

Experience level

JuniorMid level

Salary

$35 - $62 per hour

Degree requirement

Bachelor's Degree

Location requirements

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