Contribute to the design, development, and operation of data pipelines and data services that support next‑generation products.
Deliver well‑defined data solutions with guidance.
Collaborate effectively with Product Owners and senior engineers.
Gain experience working in production systems and supporting data pipelines, datasets, and operational processes.

Requirements

2–4 years of experience as a Data Developer, Data Engineer, or Software Engineer with a data focus.
Experience developing or supporting production data pipelines.
Experience working in Agile, product‑oriented teams.
Proficiency in SQL, including joins, aggregations, and moderately complex transformations.
Experience with at least one data‑oriented programming language (e.g., Python, .Net).
Familiarity with ETL/ELT frameworks and modern data architectures.
Exposure to building or consuming APIs and data services
Basic understanding of data modeling concepts and trade‑offs.
Experience working with cloud‑based data platforms, data lakes, or data warehouses e.g., (BigQuery, Amazon Redshift, Snowflake, Databricks).
Familiarity with version control and basic CI/CD concepts.
Awareness of analytics and machine learning data needs (e.g., data consistency and freshness).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPython.NetETLELTdata modelingAPIsdata servicescloud-based data platformsdata lakes

Soft Skills

collaborationcommunicationteamworkproblem-solvingadaptability