getSummary
Written in English from the original postingSenior Data Engineer role with 6+ years of experience, offered in a hybrid mode across multiple locations in India. The position focuses on designing, developing, and maintaining scalable and reliable data pipelines using modern data platforms. It also includes collaboration with cross-functional teams, documentation, workflow optimization, and support for CI/CD practices.
Job description
Hiring For Senior Data Engineer
Job Title: Senior Data Engineer
Experience: 6+ Years
Work Location: Pune / Noida / Bangalore / Hyderabad / Chennai / Gurgaon /Bangalore/Mumbai
Work Mode: Hybrid
Key Responsibilities:
• Design, develop, and maintain scalable and reliable data pipelines using modern data platforms.
• Collaborate with cross-functional teams including product owners, data scientists, and business stakeholders.
• Develop and support reporting dashboards using tools like Tableau, Power BI, QlikSense, SAS VA, MicroStrategy, and Hex.
• Contribute to comprehensive technical documentation including data flows, mappings, and runbooks.
• Optimize data processing workflows and support troubleshooting activities.
• Participate in Agile sprints and support CI/CD practices using DevOps tools.
Mandatory Skills:
• Cloud Technologies: AWS – EC2, EMR, S3, Redshift, EKS, Glue
• Programming & Scripting: Python, PySpark, Shell scripting, SQL
• Big Data Frameworks: Apache Spark, Apache Kafka
• OS/Platforms: Linux
• Databases: PostgreSQL, Relational and NoSQL
• Containerization & DevOps: Docker, Kubernetes, Terraform, CI/CD pipelines • Experience working with Apache Airflow for workflow orchestration.
• Additional proficiency in Scala, Java, or R is a plus.