Senior Data Engineer(AWS & SQL) (Noida)

As a Data Engineer, you will play a crucial role in designing, building, and maintaining data pipelines and data warehouse solutions. Your primary responsibilities will include: - Designing, building, and maintaining data pipelines and data warehouse solutions - Performing data modeling, data quality checks, and data enrichment - Developing and executing SQL/RSQL scripts across multiple data layers - Working with various AWS services such as S3, Redshift, Glue, Athena, Lambda, EC2, Step Functions, and CloudWatch - Utilizing Python and PySpark for data processing - Supporting end-to-end deployment, orchestration, and monitoring of data solutions - Collaborating with cross-functional teams to ensure smooth project delivery - Guiding junior team members on data engineering and cloud deployment tasks - Following best practices in development, testing, and CI/CD using GitHub - Providing regular status updates and taking ownership of assigned tasks To be successful in this role, you should have the following skills and experience: - Strong experience in Data Warehousing and SQL - Hands-on experience with AWS (Azure exposure is a plus) - Experience with Redshift and cloud-based data architectures - Proficiency in Python and PySpark for data processing - Experience with ETL pipelines, orchestration, and deployment - Familiarity with CI/CD processes and GitHub repositories - Ability to work in Agile or Waterfall environments Nice to have: - Consulting or client-facing experience - Experience in solution design, architecture, and documentation If you are looking for a challenging role where you can leverage your expertise in data engineering and cloud technologies, this position might be the perfect fit for you. As a Data Engineer, you will play a crucial role in designing, building, and maintaining data pipelines and data warehouse solutions. Your primary responsibilities will include: - Designing, building, and maintaining data pipelines and data warehouse solutions - Performing data modeling, data quality checks, and data enrichment - Developing and executing SQL/RSQL scripts across multiple data layers - Working with various AWS services such as S3, Redshift, Glue, Athena, Lambda, EC2, Step Functions, and CloudWatch - Utilizing Python and PySpark for data processing - Supporting end-to-end deployment, orchestration, and monitoring of data solutions - Collaborating with cross-functional teams to ensure smooth project delivery - Guiding junior team members on data engineering and cloud deployment tasks - Following best practices in development, testing, and CI/CD using GitHub - Providing regular status updates and taking ownership of assigned tasks To be successful in this role, you should have the following skills and experience: - Strong experience in Data Warehousing and SQL - Hands-on experience with AWS (Azure exposure is a plus) - Experience with Redshift and cloud-based data architectures - Proficiency in Python and PySpark for data processing - Experience with ETL pipelines, orchestration, and deployment - Familiarity with CI/CD processes and GitHub repositories - Ability to work in Agile or Waterfall environments Nice to have: - Consulting or client-facing experience - Experience in solution design, architecture, and documentation If you are looking for a challenging role where you can leverage your expertise in data engineering and cloud technologies, this position might be the perfect fit for you.