Sr.Data Engineer | Sr.Platform Engineer

As a Senior Data Engineer at SID Information Technologies, you will be responsible for designing, building, and optimizing scalable data pipelines on AWS. Your key responsibilities will include implementing data ingestion, transformation, and integration solutions using Spark/Databricks, Glue, and SQL. You will also be managing and optimizing cloud storage and compute environments, ensuring robust, automated deployments with Terraform and Jenkins, and collaborating with cross-functional teams to deliver high-quality data products. **Key Responsibilities:** - Design, build, and optimize scalable data pipelines on AWS - Implement data ingestion, transformation, and integration solutions using Spark/Databricks, Glue, and SQL - Manage and optimize cloud storage and compute environments - Ensure robust, automated deployments with Terraform and Jenkins - Collaborate with cross-functional teams to deliver high-quality data product **Qualifications Required:** - Strong programming skills in Python or Scala, Spark/Databricks - Hands-on experience with Apache Spark for big data processing on AWS cloud - Proficiency with AWS services such as S3, Glue, Redshift, EMR, Lambda - Strong SQL skills for data transformation and analytics - Expertise in setting up and managing CI/CD pipelines with Jenkins In addition to the above role, SID Information Technologies is a company that focuses on providing solutions in the healthcare domain. As a Senior Data Engineer at SID Information Technologies, you will be responsible for designing, building, and optimizing scalable data pipelines on AWS. Your key responsibilities will include implementing data ingestion, transformation, and integration solutions using Spark/Databricks, Glue, and SQL. You will also be managing and optimizing cloud storage and compute environments, ensuring robust, automated deployments with Terraform and Jenkins, and collaborating with cross-functional teams to deliver high-quality data products. **Key Responsibilities:** - Design, build, and optimize scalable data pipelines on AWS - Implement data ingestion, transformation, and integration solutions using Spark/Databricks, Glue, and SQL - Manage and optimize cloud storage and compute environments - Ensure robust, automated deployments with Terraform and Jenkins - Collaborate with cross-functional teams to deliver high-quality data product **Qualifications Required:** - Strong programming skills in Python or Scala, Spark/Databricks - Hands-on experience with Apache Spark for big data processing on AWS cloud - Proficiency with AWS services such as S3, Glue, Redshift, EMR, Lambda - Strong SQL skills for data transformation and analytics - Expertise in setting up and managing CI/CD pipelines with Jenkins In addition to the above role, SID Information Technologies is a company that focuses on providing solutions in the healthcare domain.