Data Engineer - Okemos/Farmington Hills, MI

Digital Technology International; Okemos (MI); On-site; USD 110,000 - 135,000; Full time

Job summary

Digital Technology Solutions is seeking a Data Engineer to join our Data Engineering Team in Okemos/Farmington Hills, MI. The ideal candidate has 3+ years in data engineering, with strong ETL and data pipeline experience, including CDC and cloud migrations.

You will work on ETL workflows, EDW maintenance, and data-mart loading using Informatica CDI-PC and PL/SQL, while collaborating with teams across the organization. On-call rotation is required.

Qualifications

• Minimum of 3 years of data engineering experience.
• Experience in ETL development and data pipeline construction.
• Experience with CDC and moving data from on-prem to cloud destinations.

Responsibilities

• Participates in analysis and development of technical specifications, programming and testing of Data Engineering components.
• Creates data pipelines and ETL workflows following team standards.
• Follows architecture and design best practices under leads and architects.
• Manages ETL workflows using Informatica CDI-PC (PowerCenter) to populate on-prem EDW and flat file extracts.
• Develops PL/SQL based solutions to populate data-marts for enterprise reporting.
• Configures automation for data pipelines, including stored procedures and scripting.
• Enables data flow from on-prem sources to cloud platforms (e.g., Snowflake) and SaaS apps (e.g., Salesforce).
• Follows change control and configuration management; participates in 24-hour on-call rotation.

Skills

PL/SQL

T-SQL

PowerCenter CDI-PC

Informatica IICS/IDMC

Snowflake

ETL

Oracle

SQL Server

Data Warehousing

Tools

PowerCenter

Informatica IICS

IDMC

Snowflake

Salesforce

Job description

DTS is looking for Data Engineer for our direct client position in Okemos/Farmington Hills, MI

Job Description

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 (PowerCenter) 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 teams across the organization.

Desired Skills/Qualifications

Experience creating and maintaining data solutions within Snowflake.

DTS Offers Excellent Compensation Package

Contact

Kapil Sharma

Team Lead

Digital Technology Solutions