DevOps Pipeline Optimization Specialist (ETL) @ Kpr sugar apperals

Job Description

Job Description: DevOps Pipeline Optimization Specialist (ETL) - Hybrid Position: DevOps Pipeline Optimization Specialist (ETL) Experience: 5+ years Location: Chennai, Hyderabad, Bangalore (Hybrid) Employment Type: Full-Time About the Role: We are looking for a DevOps Pipeline Optimization Specialist to optimize and enhance ETL pipelines in a DataLake application environment. The role involves identifying and resolving bottlenecks in managing multiple ETL instances, optimizing runtime and resource consumption, and ensuring seamless integration and regression testing. Scope of Work: Analyze the existing DevOps pipeline and identify areas for performance improvement. Optimize ETL pipeline execution to reduce runtime and resource consumption. Refactor and enhance existing code to improve efficiency. Collaborate with ETL teams for regression testing and validation. Address and resolve issues related to data validation and optimization. Prepare technical documentation and process flow documentation. Provide post-deployment support and ensure pipeline stability. Key Responsibilities: Pipeline Analysis & Optimization: Work with development and support teams to understand the ETL pipeline flow. Analyze ETL pipelines to identify bottlenecks and inefficiencies. Optimize ETL workflow execution, scheduling, and resource utilization. Development & Testing: Refactor and enhance ETL code to improve performance. Prepare test datasets and perform unit, integration, and regression testing. Test ETL pipelines to ensure responsiveness, efficiency, and scalability. Issue Resolution & Documentation: Identify and resolve VA (Validation & Authentication) issues in the ETL pipeline. Maintain technical documentation and process flow diagrams. Collaboration & Post-Deployment Support: Work closely with DevOps, Data Engineers, and Cloud teams to implement optimizations. Provide post-deployment support and monitor pipeline performance. Required Skills & Experience: 5+ years of hands-on experience in ETL development, optimization, and DevOps pipeline management. Strong Python, PySpark, and Spark programming skills. Experience with AWS Cloud technologies, including: Athena, S3, Lambda, EMR, Airflow, Glue, RDS, DMS. Expertise in Data Warehousing, AWS Redshift, and RDS Postgres. Strong background in ETL pipeline development, debugging, and optimization. Experience in CI/CD, automation, and DevOps practices. Excellent problem-solving, analytical, and debugging skills. Ability to work in hybrid environments (on-prem & cloud-based pipelines). Strong collaboration and communication skills to work with cross-functional teams. Preferred Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. Experience with Terraform, Kubernetes, or Docker for cloud-based deployments. Familiarity with streaming data solutions (Kafka, Kinesis, or similar). Knowledge of machine learning pipelines in AWS is a plus. Why Join Us Work on cutting-edge ETL pipeline optimization projects in a high-scale DataLake environment. Hybrid work model with flexibility across Chennai, Hyderabad, and Bangalore. Career growth opportunities in Data Engineering, DevOps, and AWS Cloud. Collaborative and innovative work culture with exposure to the latest cloud technologies. Notice Period: Immediate to 30 days preferred. Job Types: Full-time, Permanent Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Monday to Friday Morning shift Performance bonus Application Question(s): What is notice period in days Education: Bachelor's (Required) Work Location: In person,

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Keyskills:   Python Data Warehousing Automation Analytical skills Kubernetes Docker Problemsolving