Data Engineer

Innovit USA

Indianapolis, IN

Full Time

Senior

8 days ago

Job Description

About the Role

The Data Engineer role involves working closely with solution leads, project managers, data architects, data scientists, and data analysts to design, develop, and implement data solutions. The position requires expertise in data extraction, transformation, loading, and integration across various systems, with a focus on operational efficiency and security. The role supports long-term technological positioning and emphasizes documentation, analysis, and collaboration within a dynamic team environment.

Key Responsibilities

Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation
Perform extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods
Design and implement data solutions for operational and secure integration across systems
Assist, with guidance and oversight from data architects, in creating database models and architecture design and documentation
Conduct research and development as well as contribute to the long-term positioning of and emerging technologies related to data sourcing, cleansing, and integration
Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code
Improve operations by conducting systems analysis; recommending changes in policies and procedures
Involve in requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms

Requirements

Bachelor's degree in Computer Science, Engineering or a similar field
7+ years of data engineering, software engineering, or similar experience
5+ hands-on industry experience working with SQL on various relational database platforms (Microsoft, Oracle, Hana, Postgres, etc.)
2+ hands-on industry experience working with enterprise ETL/DW tools like Azure Data Factory, Redshift, Informatica, etc.
Hands-on experience with data sourcing, data modeling of warehouses/marts/repositories, data integration/transformation/ETL, APIs, reporting, business intelligence, and analytics
Hands-on experience with modern programming languages like Python, C#, JavaScript, etc.
Hands-on experience with cloud platforms like AWS, Azure, Google Cloud Platform, etc.