Evansville Headquarters : 812-474-6825
Nashville Location : (615) 208-7726

CURRENT OPENINGS

Data Engineer

1001
Washington, IN
Direct Hire
DOE

Keller Schroeder, an information technology firm in Evansville, IN is seeking a Data Engineer to work for our direct client.  This is a direct hire, full time opportunity.  Must live within 2 – 3 hours driving distance of Washington, IN to work onsite as needed.  No sponsorship is available.

 

A Data Engineer should be someone who:

  • Wants to understand what the data is (its’ metadata definition) and how it may be valuable to supporting business decision-making, application integration, and analytics.
  • Can visualize the data lifecycle in their head; knows the data has a source, it may have been aggregated, manipulated, or modified throughout its lifecycle, and it has business rules governing why it was captured in the first place.
  • Understand the business mission and can design solutions to source data, curate it, and deliver it safely and securely, from Point A to Point B, to meet the needs of the business.

 

Responsibilities:

  • Perform the tasks of data engineering: Source data, extract it, enrich metadata definitions, develop data rules, transform data, load data to target locations, and visualize data graphically.
  • Design, build and support scalable, highly available data pipelines using Azure Data Factory and Databricks.
  • Implement processes that improve and lead to greater data quality.
  • Work with the line of business to understand requests pertaining to data.
  • Utilize SQL/ETL processes to get data from various sources.
  • Ensure data is clean/structured to be able to be consumed and visualized.
  • Write SQL queries to transform raw data into usable business information and metrics.
  • Collaborate with different teams to understand business requirements and to design workable solutions.

Technical Qualifications:

  • 3+ years’ experience in a Data Engineer role.
  • Azure Data Factory or similar data integration, orchestration, and automation tools.
  • SQL Server and stored procedures.
  • SQL queries
  • Expert in relational database design and concepts.
  • Strong familiarity and hands-on experience with SQL and statistical software packages (Python, R, SAS).
  • Expert in one or more programming languages: C/C++, Python, Perl, or Java.
  • Data visualization tools, such as Power BI, Tableau, Spotfire, Rstudio Shiny, etc.
  • Knowledge of tools and techniques for developing machine learning models.
  • Up to date on the latest industry trends, able to articulate trends and their potential clearly and confidently.
  • Experience with genetic algorithms, logistic and linear regression, PCA, decision tree analysis and statistical methods is a plus.

 

Personal Qualifications:

  • Bachelor’s degree in computer science, engineering, mathematics, or related field.
  • Master’s degree in computer science, mathematics, or related field preferred.
  • Goal-oriented, organized team player.
  • Comfortable in both a leadership and individual contributor roles.
  • Encouraging to team and staff; able to mentor and lead.
  • Creative problem solver who thrives when presented with a challenge.
  • Able to analyze problems and strategize for better solutions.
  • Experience with metadata, identifying data sources and lineage, developing data pipelines, and data mapping.
  • Excellent verbal and written communication skills.
  • Able to multitask, prioritize, and manage time effectively.
  • Able to work in a fast-paced environment.

We look forward to receiving your resume in PDF format!