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About the role
Job Title : Data Engineer Location : Pune / Ahmedabad (Hybrid) Experience : 4 - 6 Years Employment Type : Full-Time Shift Timing : 1:00 PM - 10:00 PM Joining Preference : Immediate Joiners Only Job Summary : We are looking for a skilled Data Engineer with 4 - 6 years of experience in building scalable data pipelines and data warehouse solutions. The ideal candidate should have strong expertise in PySpark/Python, SQL, and ETL processes, along with hands-on experience in modern data platforms and cloud environments. Key Responsibilities : - Design, develop, and maintain robust ETL/data pipelines. - Work on data warehouse design, data modeling, and optimization. - Build and manage large-scale data processing systems using PySpark/Python. - Develop and optimize SQL queries for data extraction and transformation. - Implement solutions using cloud platforms like AWS or Azure. - Work with modern data architectures such as Medallion Architecture. - Collaborate with cross-functional teams to understand data requirements and deliver solutions. - Ensure data quality, integrity, and performance optimization. Required Skills : - Strong hands-on experience in PySpark and/or Python - Solid understanding of SQL (any database) - Experience in ETL development and data pipeline building - Knowledge of Data Warehousing concepts and Data Modeling - Experience with Snowflake or Redshift - Hands-on experience with Databricks - Exposure to Azure Data Factory (ADF) / Synapse / Fabric Pipelines or similar tools - Understanding of Medallion Architecture Job Title : Data Engineer Location : Pune / Ahmedabad (Hybrid) Experience : 4 - 6 Years Employment Type : Full-Time Shift Timing : 1:00 PM - 10:00 PM Joining Preference : Immediate Joiners Only Job Summary : We are looking for a skilled Data Engineer with 4 - 6 years of experience in building scalable data pipelines and data warehouse solutions. The ideal candidate should have strong expertise in PySpark/Python, SQL, and ETL processes, along with hands-on experience in modern data platforms and cloud environments. Key Responsibilities : - Design, develop, and maintain robust ETL/data pipelines. - Work on data warehouse design, data modeling, and optimization. - Build and manage large-scale data processing systems using PySpark/Python. - Develop and optimize SQL queries for data extraction and transformation. - Implement solutions using cloud platforms like AWS or Azure. - Work with modern data architectures such as Medallion Architecture. - Collaborate with cross-functional teams to understand data requirements and deliver solutions. - Ensure data quality, integrity, and performance optimization. Required Skills : - Strong hands-on experience in PySpark and/or Python - Solid understanding of SQL (any database) - Experience in ETL development and data pipeline building - Knowledge of Data Warehousing concepts and Data Modeling - Experience with Snowflake or Redshift - Hands-on experience with Databricks - Exposure to Azure Data Factory (ADF) / Synapse / Fabric Pipelines or similar tools - Understanding of Medallion Architecture
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