Back
Popular early-career data role with common stack but non-Tier1 brand yields moderate applicant competition.
Core data engineering skills (SQL, Python, ELT, cloud) are broadly transferable across industries.
Explicit 1–3 year requirement and mandatory Snowflake/ELT/SSIS skills create moderately strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build, test, and maintain ELT/ETL data pipelines using Matillion, Fivetran, SSIS for ingestion into Snowflake.
Develop and optimize data models and SQL transformations in Snowflake for analytics and reporting.
Manage AWS S3 data storage and write Python code for data processing, automation, and pipeline logic.
1–3 years of hands-on experience in data engineering or closely related role.
Strong SQL skills and working knowledge of Python required.
Hands-on experience with Snowflake, Matillion and/or Fivetran, and SSIS packages.
Working knowledge of AWS including S3; understanding of data warehousing and ETL/ELT concepts.
Experienced in consulting or client-delivery environments, comfortable with stakeholder collaboration and translating business questions into data requirements.
Detail-oriented with capability to ensure data quality, validation, and documentation for BI and ML teams.
Practiced in managing workflows via Jira and version control with Git to support reliable delivery.