Data Engineer
HybridMexico City, Mexico City, Mexico
Mexico City, Mexico City, MexicoHybridFull TimeMid LevelEnterprise
Full TimeMid LevelEnterprise
Job Summary
Data Engineer at NIQ to build, maintain, and optimize scalable data pipelines (ETL/ELT) for large-scale datasets; develop data ingestion, transformation, and delivery solutions; ensure data quality and reliability across pipelines; collaborate with cross-functional teams to translate data needs into technical solutions; troubleshoot data issues; contribute to data modeling (star schema, dimensional models); improve pipeline performance and reduce latency; operate in a fast-paced global environment with strong Python and SQL skills and experience with cloud data warehousing (e.g., Snowflake, Redshift, BigQuery).
Required Qualifications
- 2–4 years of experience in Data Engineering or related roles
- Strong programming skills in Python and SQL (required)
- Experience working with data pipelines and ETL processes
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Experience with data warehousing solutions (Snowflake, Redshift, BigQuery, etc.)
- Understanding of data modeling concepts
- Strong problem-solving and debugging skills
- Ability to work in a global environment (English required)
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