Senior Data Engineer
Description For Senior Data Engineer
Nisum, a leading global digital commerce firm, is seeking a Senior Data Engineer to join their team in Hyderabad, India. This role offers an exciting opportunity to work with Fortune 500 brands, developing and maintaining scalable data pipelines and building new API integrations.
As a Senior Data Engineer, you'll collaborate with analytics and business teams to improve data models, lead the data team, and drive solutions delivery. Your responsibilities will include writing tests, performing data analysis, defining data assets, and working on long-term data engineering platform architecture.
Key responsibilities:
- Develop and maintain scalable data pipelines
- Collaborate with analytics and business teams
- Lead and drive the data team
- Perform data analysis and troubleshooting
- Design data-oriented solutions
- Implement data governance, access, and security policies
Required skills and experience:
- Minimum 6 years of ETL and Data Engineering experience
- Experience in solutions architect or senior data engineer roles
- Expertise in modern data ingestion processes
- Proficiency in Azure cloud Data services
- Advanced SQL knowledge
- Experience with object-oriented scripting languages like Python and Scala
Nisum offers competitive salaries, benefits, and unique perks such as continuous learning opportunities, parental medical insurance, team-building activities, and free meals. Join a company that values diversity and inclusion, and be part of building success together in the digital commerce landscape.
Responsibilities For Senior Data Engineer
- Develop and maintain scalable data pipelines
- Build new API integrations
- Collaborate with analytics and business teams to improve data models
- Lead and drive the data team to deliver solutions
- Write unit/integration tests and document work
- Perform data analysis and troubleshoot data-related issues
- Define company data assets and create jobs to populate data models
- Develop strategy for long-term data engineering platform architecture
- Design data-oriented solutions using best practices
- Implement governance, access, and security policies
- Ensure optimal use of resources in cost and performance
- Implement processes to monitor data quality
Requirements For Senior Data Engineer
- Minimum 6 years of ETL and Data Engineering experience
- Experience in solutions architect or senior data engineer roles
- Experience in modern data ingestion processes
- Experience in data governance models
- Experience with relational SQL and NoSQL databases
- Experience with Azure cloud Data services
- More than 8 years of experience in Data Engineering & ETL Tools and Azure
- Experience with Azure functions, Azure Data Factory, Databricks, and PySpark
- Experience with object-oriented/object function scripting languages: Python, Scala, etc.
- Advanced SQL knowledge
- Bachelor's degree in IT, software development, computer science, or related field
Benefits For Senior Data Engineer
- Competitive salaries and benefits packages
- Continuous Learning opportunities
- Parental Medical Insurance
- Team-building activities
- Free snacks and dinner
- Subsidized lunch
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