Sr.Data Engineer | Sr.Platform Engineer

Role: Data Engineering | Platform Engineer 📍Location: Hyderabad 🕒 Experience: 6-12+ Years 📩 Apply Now: Kriti.singh@𝐬𝐢𝐝𝐢𝐧𝐟𝐨𝐫𝐦𝐚tion.com 🚨 Preferred: Immediate Joiners 🏥 Domain Preference: Healthcare Apply @: Kriti.singh@sidinformation.com

Senior Data Engineer (AWS, Python, Spark/data bricks, SQL) Must-Have Technical Skills: 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 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 2) Role: Sr. Data Engineer Location: Hyderabad (Hybrid) - immediate joiner - For a Healthcare Data Analytics Client Hands-on skills required for this position: Proficient with Python Programming, Scala, SQL, and Redshift AWS ecosystem Infrastructure as a code using Terraform Experience leading and handling a team of Data Engineers Short Description: Technical Skills - Strong programming skills in Python or Scala. - Hands-on with SQL - Deep expertise in AWS cloud platforms and familiarity with a range of AWS Analytics Ecosystem components, including but not limited to Apache Airflow, Apache Spark, S3, Glue, Kafka, AWS Athena, Lambda, Redshift, Lake Formation, AWS Batch, ECS - Fargate, Kinesis, Flink, DynamoDB, and SageMaker. - Advanced proficiency with IaC tool Terraform.

3) Role: Sr. Platform Engineer / Cloud Engineer (Terraform, AWS, Python) - Immediate joiner - For a Healthcare Client Hyderabad Location Skills: Python Programming DevOps Must have experience in infrastructure through code using Terraform AWS SQL