960000 - 960000 INR - Yearly
Bangalore, Karnataka, India
Information Technology
Full-Time
Xanika Infotech
Overview
Data Engineer
Experience: 2-4Years
Location: Kochin, Kerala (Work From Office)
Key Responsibilities:
- Build and manage data lakes and data warehouses using services like Amazon S3, Redshift, and Athena
- Design and build secure, scalable, and efficient ETL/ELT pipelines on AWS using services like Glue, Lambda, Step Functions
- Work on SAP Datasphere to build and maintain Spaces, Data Builders, Views, and Consumption Layers
- Support data integration between AWS, Datasphere, and various source systems(SAP S4HANA, Non-SAP apps, Flat-files etc)
- Develop and maintain scalable data models and optimize queries for performance · Monitor and optimize data workflows to ensure reliability, performance, and cost-efficiency
- Collaborate with Data Analysts and BI teams to provide clean, validated, and well-documented datasets
- Monitor, troubleshoot, and enhance data workflows and pipelines
- Ensure data quality, integrity, and governance policies are met
Required Skills
- Strong SQL skills and experience with relational databases like MySQL, or SQL Server
- Proficient in Python or Scala for data transformation and scripting
- Familiarity with cloud platforms like AWS (S3, Redshift, Glue), Datasphere, Azure
Good-to-Have Skills:
- AWS Certification – AWS Certified Data Analytics
- Exposure to modern data stack tools like Snowflake
- Experience in cloud-based projects and working in an Agile environment
- Understanding of data governance, security best practices, and compliance standards
Job Types: Full-time, Permanent
Pay: Up to ₹960,000.00 per year
Application Question(s):
- Willing to take up Work from Office mode in Kochi Location?
Experience:
- Data Engineer / ETL Developer: 2 years (Required)
- AWS: 2 years (Required)
- SQL and (Python OR Scala): 2 years (Required)
- Datasphere OR "SAP BW" OR "SAP S/4HANA": 2 years (Required)
- AWS (S3, Redshift, Glue), Datasphere, Azure: 2 years (Required)
- PostgreSQL and MySQL or SQL Server: 2 years (Required)
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