Senior Data Engineer

As a Senior Data Engineer at our company, you will play a crucial role in designing, building, and optimizing scalable data pipelines on AWS. Your responsibilities will include implementing data ingestion, transformation, and integration solutions using Spark, 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, 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 products **Qualifications Required:** - Strong programming skills in Python and/or Scala - 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 - Experience in Infrastructure as Code (IaC) using Terraform - Expertise in setting up and managing CI/CD pipelines with Jenkins If you are looking to work on cutting-edge data engineering projects in healthcare analytics, in a fast-paced and innovation-driven environment, this opportunity is for you. With a hybrid work model for flexibility and collaboration, we offer you the chance to grow professionally while making a meaningful impact. Apply Now by sending your updated resume to careers@sidinformation.com As a Senior Data Engineer at our company, you will play a crucial role in designing, building, and optimizing scalable data pipelines on AWS. Your responsibilities will include implementing data ingestion, transformation, and integration solutions using Spark, 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, 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 products **Qualifications Required:** - Strong programming skills in Python and/or Scala - 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 - Experience in Infrastructure as Code (IaC) using Terraform - Expertise in setting up and managing CI/CD pipelines with Jenkins If you are looking to work on cutting-edge data engineering projects in healthcare analytics, in a fast-paced and innovation-driven environment, this opportunity is for you. With a hybrid work model for flexibility and collaboration, we offer you the chance to grow professionally while making a meaningful impact. Apply Now by sending your updated resume to careers@sidinformation.com