Senior Data Engineer
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.
Skills
As published by dover · 10 questions
Short answers (3)
- How many years of work experience do you have with Apache?
- LinkedIn optional
- Phone Number
Pick from a list (6)
- Do you have at least 6 years of hands-on experience working in data engineering or big data roles using tools like Python, PySpark, SQL, and Shell scripting?
- Have you used Docker, Kubernetes, and CI/CD tools (e.g., GitLab CI, Jenkins), and worked with infrastructure as code tools like Terraform?
- Have you used AWS data services such as EC2, EMR, Glue, Redshift, S3, and EKS in production projects?
- Have you worked with big data frameworks like Apache Spark, Kafka, and workflow orchestration tools like Apache Airflow?
- Are you experienced with both relational (PostgreSQL, MySQL) and NoSQL databases, and have you worked on data modeling and query optimization
- It's an Onsite | Hybrid Opportunity. Are you Ok with this?
Attachments (1)
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