Backend Data Engineer

Backend Developer Job Summary: We are seeking an experienced Backend Developer to join our dynamic team in Bangalore. In this role, you will design and implement scalable data solutions that leverage cloud technologies to enhance our data-driven initiatives, making a significant impact on our organization's performance and efficiency. Key Responsibilities: Design and implement scalable data pipelines using Python, PySpark, and boto3. Integrate with Amazon Redshift for data warehousing and perform data ingestion and transformation tasks. Work with Amazon S3 to architect and manage data lakes. Build and manage batch processing jobs using AWS Glue, EMR, and Lambda. Support streaming data workflows using Amazon Kinesis. Leverage AWS Secrets Manager and KMS for secure data handling and encryption. Write efficient SQL for data querying, transformations, and performance tuning. Collaborate with data engineering, product, and DevOps teams to deliver end-to-end solutions. Participate in code reviews, debugging, and testing activities to ensure high-quality software delivery. Use Git for version control and follow best practices in CI/CD. Continuously explore and recommend improvements to enhance system performance, scalability, and maintainability. Requirements: Advanced proficiency in Python, including libraries such as Pandas, PySpark, and boto3. Experience designing workflows in Apache Airflow (MWAA). Hands-on experience with Amazon Redshift for analytics and data warehousing. Solid SQL skills and experience with data modeling and transformation. Comfortable with Amazon S3, including setting up data lake architecture. Familiar with AWS core services: EC2, S3, IAM, Lambda. Experience using AWS Secrets Manager and AWS KMS for secure data access. Strong understanding of batch processing (AWS Glue, EMR) and streaming (Kinesis). Version control using Git. Excellent problem-solving and communication skills. Preferred Qualifications: Knowledge of additional ETL/ELT tools like AWS Glue and AWS Athena. Familiarity with DevOps practices and CI/CD pipelines. Experience working in agile teams and data-focused environments. Knowledge in reading and understanding JavaScript (Node.js/Express). Location: Bangalore Backend Developer Job Summary: We are seeking an experienced Backend Developer to join our dynamic team in Bangalore. In this role, you will design and implement scalable data solutions that leverage cloud technologies to enhance our data-driven initiatives, making a significant impact on our organization's performance and efficiency. Key Responsibilities: Design and implement scalable data pipelines using Python, PySpark, and boto3. Integrate with Amazon Redshift for data warehousing and perform data ingestion and transformation tasks. Work with Amazon S3 to architect and manage data lakes. Build and manage batch processing jobs using AWS Glue, EMR, and Lambda. Support streaming data workflows using Amazon Kinesis. Leverage AWS Secrets Manager and KMS for secure data handling and encryption. Write efficient SQL for data querying, transformations, and performance tuning. Collaborate with data engineering, product, and DevOps teams to deliver end-to-end solutions. Participate in code reviews, debugging, and testing activities to ensure high-quality software delivery. Use Git for version control and follow best practices in CI/CD. Continuously explore and recommend improvements to enhance system performance, scalability, and maintainability. Requirements: Advanced proficiency in Python, including libraries such as Pandas, PySpark, and boto3. Experience designing workflows in Apache Airflow (MWAA). Hands-on experience with Amazon Redshift for analytics and data warehousing. Solid SQL skills and experience with data modeling and transformation. Comfortable with Amazon S3, including setting up data lake architecture. Familiar with AWS core services: EC2, S3, IAM, Lambda. Experience using AWS Secrets Manager and AWS KMS for secure data access. Strong understanding of batch processing (AWS Glue, EMR) and streaming (Kinesis). Version control using Git. Excellent problem-solving and communication skills. Preferred Qualifications: Knowledge of additional ETL/ELT tools like AWS Glue and AWS Athena. Familiarity with DevOps practices and CI/CD pipelines. Experience working in agile teams and data-focused environments. Knowledge in reading