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Ahmedabad, Gujarat, India
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Key Responsibilities:
Design, develop, and maintain scalable ETL / ELT pipelines
Build and optimize data architectures and data models
Develop reliable and efficient data workflows for structured and unstructured datasets
Work with cloud platforms such as AWS, Azure, or GCP
Develop and manage data warehouse solutions (Snowflake, BigQuery, Redshift, etc.)
Collaborate with analytics, engineering, and business teams for data requirements
Ensure data quality, integrity, and governance standards
Optimize SQL queries and data processing performance
Monitor pipeline reliability and troubleshoot production issues
Work with orchestration and workflow tools like Airflow, dbt, or equivalent
Required Skills:
Strong hands-on experience in Python and SQL
Experience with ETL / ELT processes and data pipeline development
Cloud experience (AWS / Azure / GCP)
Knowledge of Snowflake / BigQuery / Redshift
Experience with Airflow, dbt, or similar orchestration tools
Strong understanding of data warehousing concepts
Good communication and stakeholder management skills
Strong analytical and problem-solving abilities
Ability to work effectively within cross-functional teams
Good to Have:
Experience in data modeling and performance optimization
Exposure to streaming / real-time data processing
Knowledge of data governance and data quality frameworks
Experience working with large-scale distributed data systems
Preferred Candidate Profile:
3–6 years of relevant Data Engineering experience
Bachelor’s / Master’s degree in Computer Science, IT, Engineering, or related field
Bachelor's or Master's degrees
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