AWS Data Engineer

As an AWS Data Engineer at our company, you will be responsible for utilizing your expertise in AWS services, SQL or Python, and platforms such as Data bricks or Snowflake to contribute to the success of our projects. With 6-15 years of experience, you will play a crucial role in developing and maintaining data pipelines, optimizing data workflows, and ensuring the efficiency and reliability of our data solutions. Key Responsibilities: - Develop and implement data pipelines using AWS services to extract, transform, and load data. - Collaborate with cross-functional teams to design, build, and deploy data solutions that meet business requirements. - Optimize data workflows and processes to improve data quality and accessibility. - Troubleshoot and resolve data-related issues in a timely manner. - Stay updated on the latest technologies and best practices in data engineering. Qualifications Required: - 6-15 years of experience in data engineering or a related field. - Strong proficiency in AWS services such as S3, Glue, Redshift, etc. - Proficiency in SQL or Python for data manipulation and analysis. - Experience with data platforms like Data bricks or Snowflake is a plus. - Excellent problem-solving and communication skills. Feel free to reach out to soumya.srivastava@innovaesi.com for submitting your resume and taking the next step in your career as an AWS Data Engineer with us. As an AWS Data Engineer at our company, you will be responsible for utilizing your expertise in AWS services, SQL or Python, and platforms such as Data bricks or Snowflake to contribute to the success of our projects. With 6-15 years of experience, you will play a crucial role in developing and maintaining data pipelines, optimizing data workflows, and ensuring the efficiency and reliability of our data solutions. Key Responsibilities: - Develop and implement data pipelines using AWS services to extract, transform, and load data. - Collaborate with cross-functional teams to design, build, and deploy data solutions that meet business requirements. - Optimize data workflows and processes to improve data quality and accessibility. - Troubleshoot and resolve data-related issues in a timely manner. - Stay updated on the latest technologies and best practices in data engineering. Qualifications Required: - 6-15 years of experience in data engineering or a related field. - Strong proficiency in AWS services such as S3, Glue, Redshift, etc. - Proficiency in SQL or Python for data manipulation and analysis. - Experience with data platforms like Data bricks or Snowflake is a plus. - Excellent problem-solving and communication skills. Feel free to reach out to soumya.srivastava@innovaesi.com for submitting your resume and taking the next step in your career as an AWS Data Engineer with us.