Job Description
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)
Solid understanding of data modeling and database concepts
Good verbal and written communication skills
Ability to explain technical conce...
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)
Solid understanding of data modeling and database concepts
Good verbal and written communication skills
Ability to explain technical conce...
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