Junior & Senior Data Engineer (Mumbai)

Experience: 310 Years Employment Type: Full-Time Location: Bangalore, Hyderabad, Chennai, Pune, Mumbai Salary: 1230 LPA (Based on skills and experience) Notice Period: Immediate to 30 Days About The Role We are looking for talented Data Engineers to design, develop, and maintain scalable data pipelines and modern data platforms. The ideal candidate should have solid expertise in SQL, Python, Apache Spark, Kafka, and Snowflake, with experience building reliable, high-performance data solutions for enterprise applications. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT workflows. Develop and optimize data processing solutions using Python and Apache Spark. Build real-time data streaming applications using Apache Kafka. Develop and manage data models, data warehouses, and Snowflake environments. Write optimized SQL queries for data extraction, transformation, and reporting. Ensure data quality, integrity, security, and governance across platforms. Monitor, troubleshoot, and optimize data pipeline performance. Collaborate with data analysts, data scientists, and software engineering teams. Participate in code reviews and Agile development practices. Required Skills Strong proficiency in SQL and Python. Hands-on experience with Apache Spark. Experience with Apache Kafka for real-time data streaming. Strong knowledge of Snowflake data warehouse. Experience with ETL/ELT processes and data pipeline development. Familiarity with relational and NoSQL databases. Experience with Git, CI/CD, and cloud platforms (AWS, Azure, or GCP) is an advantage. Strong analytical, debugging, and problem-solving skills. Eligibility Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. 310 years of experience in Data Engineering. Experience working with large-scale data processing and analytics platforms. Good communication and collaboration skills. Benefits Salary: 1230 LPA (Based on skill Experience: 310 Years Employment Type: Full-Time Location: Bangalore, Hyderabad, Chennai, Pune, Mumbai Salary: 1230 LPA (Based on skills and experience) Notice Period: Immediate to 30 Days About The Role We are looking for talented Data Engineers to design, develop, and maintain scalable data pipelines and modern data platforms. The ideal candidate should have solid expertise in SQL, Python, Apache Spark, Kafka, and Snowflake, with experience building reliable, high-performance data solutions for enterprise applications. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT workflows. Develop and optimize data processing solutions using Python and Apache Spark. Build real-time data streaming applications using Apache Kafka. Develop and manage data models, data warehouses, and Snowflake environments. Write optimized SQL queries for data extraction, transformation, and reporting. Ensure data quality, integrity, security, and governance across platforms. Monitor, troubleshoot, and optimize data pipeline performance. Collaborate with data analysts, data scientists, and software engineering teams. Participate in code reviews and Agile development practices. Required Skills Strong proficiency in SQL and Python. Hands-on experience with Apache Spark. Experience with Apache Kafka for real-time data streaming. Strong knowledge of Snowflake data warehouse. Experience with ETL/ELT processes and data pipeline development. Familiarity with relational and NoSQL databases. Experience with Git, CI/CD, and cloud platforms (AWS, Azure, or GCP) is an advantage. Strong analytical, debugging, and problem-solving skills. Eligibility Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. 310 years of experience in Data Engineering. Experience working with large-scale data processing and analytics platforms. Good communication and collaboration skills. Benefits Salary: 1230 LPA (Based on skill