Senior Data Engineer
NowVertical Group Inc. (company site, opens in a new tab)5–8 yrsMumbaiOn-siteDirect career pageEst. 14–24 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain reliable batch and real-time data pipelines and ingestion code for client data and AI analytics solutions.
- Develop cloud-native ELT/ETL pipelines and Lakehouse solutions, deploying them in production cloud environments with high availability.
- Prepare and serve clean, well-modelled data to support analytics, dashboards, AI/ML, and GenAI use cases including feature sets and vector databases.
Minimum Requirements
- 5-8 years of hands-on data engineering experience.
- Strong SQL skills including querying and performance optimization; strong Python programming experience with production code delivered.
- Experience with cloud platforms (AWS, Azure, or GCP), modern data stack (Snowflake, BigQuery, Redshift, Databricks), and tools like dbt, Airflow, Fivetran.
- Mandatory usage of AI coding assistants (e.g., GitHub Copilot) alongside solid programming fundamentals; experience with Git version control and CI/CD pipelines.
Ideal Candidate Profile
- Experienced in client-facing consulting roles delivering data and AI analytics projects independently on fast-paced engagements.
- Proficient in integrating diverse data sources (cloud apps, social, web logs, CRM) and building scalable data architectures supporting ML and GenAI applications.
- Skilled in applying data quality, testing, observability, and delivering well-documented, monitored data solutions as a proactive embedded business partner.