Data Engineer

Posted 2 Days Ago
Okemos, MI, USA
In-Office
Mid level
Big Data • Information Technology • Database
The Role
Develops and supports ETL workflows, enterprise data warehouses, data marts, and automated data pipelines. Uses Informatica, PL/SQL, and scripting to move data between on-premises systems, Snowflake, Salesforce, and other platforms. Participates in technical design, programming, testing, standards, change control, and 24-hour on-call support. The role requires four days onsite in Lansing, Michigan and may involve ADP I or II clearance and U.S. citizenship.
Summary Generated by Built In
  1. Must be local to Lansing, Michigan for onsite reviews and on-site work requirements.
  2. This job's duties may include task assignments to support, administer, or access systems, which contractually require ADP I or II clearance and U.S. citizenship or naturalized citizen. 
  3. No remote option. 
  4. 4 days working onsite required.
  5. Please No C2C or 3rd Party Submissions.

Summary:

We are looking for a Data Engineer to join our Data Engineering Team. The ideal candidate should have a minimum of 3 years of data engineering experience with excellent analytical reasoning and critical thinking skills. The candidate will be a part of a team that does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. The Data Engineering Team also creates data pipelines that use change data capture (CDC) mechanisms to move data from on-premises to cloud-based destinations.

Responsibilities:

  • Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components.
  • Participates in creating data pipelines and ETL workflows to ensure that design and Team programming standards and guidelines are followed.  Assists with updating the Team standards when gaps are identified.
  • Follows technology best practices and standards and escalates any issues as deemed appropriate.  Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team).
  • Responsible for:
    • ETL workflows that utilize Informatica CDI-PC (PowerControl) to populate an on-premises Enterprise Data Warehouse (EDW).  As well as ETL workflows that create flat file extracts.
    • ETL workflows that utilize PL/SQL based solutions to populate data-marts for enterprise reporting.
    • Configuration and scripting to implement fully automated data pipelines (including but not limited to stored procedures, functions, and scripting components).
    • ETL workflows that allow data to flow from on-premises data sources to cloud-based data platforms (e.g. Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by external Customers.
  • Follows Team standards for change control and configuration management.
  • Participates in 24-hour on call rotation in support of the platform.

Required Skills/Qualifications:

  • Database Platforms: Oracle, SQL Server, and Snowflake.
  • OS Platforms: Windows Server and RedHat Enterprise Linux.
  • Languages and Tools: PL/SQL, T-SQL, Informatica CDI-PC (PowerCenter), Informatica IICS or IDMC
  • Understanding and working knowledge of loading an EDW.
  • Drive and desire to automate repeatable processes.
  • Excellent interpersonal skills and communication, as well as the willingness to collaborate with team across the organization.

Desired Skills/Qualifications:

  • Experience creating and maintaining data solutions within Snowflake.

Skills Required

  • Minimum 3 years of data engineering experience
  • Local to Lansing, Michigan for onsite reviews and work
  • Work onsite four days per week; no remote option
  • U.S. citizenship or naturalized citizenship
  • ADP I or II clearance may be required for assigned duties
  • Experience with Oracle, SQL Server, and Snowflake database platforms
  • Experience with Windows Server and Red Hat Enterprise Linux
  • Experience with PL/SQL, T-SQL, Informatica CDI-PC or PowerCenter, and Informatica IICS or IDMC
  • Understanding and working knowledge of loading an enterprise data warehouse
  • Ability and desire to automate repeatable processes
  • Excellent interpersonal, communication, and collaboration skills
  • Experience creating and maintaining data solutions within Snowflake
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The Company
HQ: Lansing, MI
240 Employees
Year Founded: 1996

What We Do

Founded in 1996 and headquartered in Lansing, Dewpoint has a long success record of helping to develop short- or long-term strategic technology plans to maximize current resources and better position organizations across numerous industries for the future. Its service-based solutions focus on helping clients transform and optimize IT support via strategic assessments, portfolio, program and project management, managed services, infrastructure optimization and applications development and maintenance. With particular expertise around the data center, Dewpoint also architects and supports its clients’ strategic initiatives such as data backup and recovery, data storage, virtualized environments, database services, performance improvement and overall architectural design and implementation. Dewpoint supports clients primarily in the Midwest and across the country.

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