Data Engineer - Data Platforms

Job Description

Job Description

Overview

CTG is seeking a skilled Data Engineer to design, build, and maintain high-performance ETL pipelines and data platforms for our client. Local tri-state candidates preferred.

Location : Hybrid in NYC (minimum 3 days onsite weekly)

Duration : 12 months

What You’ll Do :

Develop scalable ETL pipelines using Python and OOP principles.

Write, optimize, and troubleshoot SQL queries and stored procedures (SQL Server, DB2, Oracle).

Integrate applications via APIs and web technologies.

Build and manage Airflow DAGs to automate workflows.

Design and maintain data models, schemas, and entity relationships.

Ingest, cleanse, govern, and deliver data in cloud warehouses like BigQuery and Databricks Delta Lakehouse.

Skills & Experience :

Strong Python programming and software development expertise.

Deep knowledge of SQL, RDBMS, ETL processes, and data modeling.

Experience with Airflow, cloud data warehouses, and workflow automation.

Familiarity with Spark a plus.

Independent problem-solver with strong analytical skills.

Nice to Have :

Hands-on experience with IBM Apptio or ability to ramp up quickly.

Willingness to learn new tools and technologies.

Education :

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field preferred, or equivalent experience.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role.

To Apply :

To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Dallas Bell at Dallas.Bell@ctg.com . Kindly forward this to any other interested parties. Thank you!