Design, build, and maintain scalable data pipelines and cloud data platforms. Proficient in AWS, Python, and SQL. Collaborate with global cross-functional teams.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Title: Data Engineer
Location: Hybrid – Ridgefield, CT (Onsite 2–3 days/week)
Type: Full-Time Employment (W2 Only)
Relocation: Considered (must have valid reasons such as family, etc.)
Overview
We’re seeking a hands-on Data Engineer to design, build, and maintain scalable data pipelines and cloud data platforms. The ideal candidate will be proficient in AWS, Python, and SQL, with excellent communication skills and the ability to collaborate effectively with global cross-functional teams.
This position offers the opportunity to directly support impactful, life-changing work in a collaborative and balanced culture.
Required Qualifications
- Bachelor’s Degree + 4 years (or Master’s + 2 years) in Data Engineering or related field.
- Strong understanding of data integration, data modeling, and SDLC.
- Hands-on experience with AWS data services (Glue, Lambda, Athena, Step Functions, Lake Formation).
- Expert-level proficiency in Python and SQL.
- Advanced knowledge of data warehousing and data modeling (Kimball/star schema).
- Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).
- Familiarity with CI/CD pipelines and DevOps principles.
- Excellent communication and collaboration skills.
Preferred Skills
- Experience with ETL/ELT tools such as Airflow, dbt, AWS Glue, ADF.
- Experience with Snowflake.
- Knowledge of data governance and metadata management.
- AWS certification (preferred).
- Familiarity with big data processing tools (Spark, Hadoop, Flink).
Interview Process
- Initial screening with recruiter.
- Technical interview.
- Final onsite interview with 4–5 team members (individual sessions).
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