About the Role
Key Responsibilities
- Design, build, and maintain
scalable data pipelines (ETL/ELT) - Develop and optimize
data warehouses and data models - Ensure
data accuracy, consistency, and reliability - Work with structured and unstructured data from multiple sources
- Collaborate with
Data Analysts, Data Scientists, and Product teams - Monitor data workflows and troubleshoot performance issues
- Implement best practices for data security and governance
- Document data processes and technical solutions clearly
Required Skills & Qualifications
- 2–4 years of experience as a
Data Engineer - Strong proficiency in
SQL and Python - Experience with
data warehouses
(Snowflake, BigQuery, Redshift, or similar) - Familiarity with
ETL tools and orchestration frameworks
(Airflow, dbt, etc.) - Experience with
cloud platforms
(AWS, GCP, or Azure) <...
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