Data Engineer

Intelliswift$80K — $120K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in data-related field or similar (e.g., computer science, information technology, mathematics)
  • 5-7 years of experience in building ETL processes
  • Proficiency with Azure cloud technologies
  • Strong understanding of database structures and data architecture
  • Expertise in multiple programming tools including Scala, Spark, Python, SQL, and .NET

Responsibilities

  • Build and maintain industrialized data assets and data pipelines
  • Lead innovative data-driven solutions for Business Intelligence and advanced analytics
  • Collaborate with Data Scientists and BI developers to deliver strategic value
  • Write maintainable tests and code that scale without rework
  • Experiment with modern designs and integration patterns across disciplines

Benefits

  • Hybrid work model with in-office days on Tuesday and Thursday
  • Opportunity for contract extension after initial 8 months
  • Collaboration with a team of forward-thinking professionals
  • Exposure to innovative technologies in data engineering
  • Focus on maintainable coding practices and efficient data solutions
Full Job Description
Job ID: 25-09474 Data Engineer
Location: Warren, MI 48093 (Hybrid, Tues • Thursday in office)

Duration: 8 months with possible extension

Summary : As a Data Engineer, you will build industrialized data assets and data pipelines in support of Business Intelligence and Advance Analytic objectives. The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI developers, System Architects, and Data Architects to deliver value to our vision for the future. Our team focuses on writing maintainable tests and code that meet the customer's need and scale without rework. Our engineers and architects work in highly collaborative environments across many disciplines (user experience, database, streaming technology, custom rules engines, and ai/ml and most web technologies). We work on innovative technologies • understanding and inventing modern designs and integration patterns along the way.

Candidate Requirements :

Degree Requirement • Bachelor Degree in the data space or a related field (computer science, information technology, mathematics are good fields)

Years of experience • 5-7 years' experience building ETL

(ETL • extract transform and load)

ETL • code utilizing different technologies, connects you to a database and helps extract it out so the table and the fields do the transformation cleaning, connect to another database and actually load it to the new database

Working with azure cloud technologies, understanding databases, database structures, data model, data architecture

Expert in multiple tools and technologies including Azure and Databricks

Scala, Spark, Python, SQL, .NET, REST API, Angular

SQL Server, PostgreSQL, SQL Server Integration Services (SSIS), Complex ETL with massive data, PowerBI

Top 3 must-have hard skills :
  • 5-7 years of experience building ETL
  • Working with azure cloud technologies
  • Understanding databases, database structures, data model, data architecture

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