Data Engineer - Hiring Team
NowVertical2–4 yrsMumbaiOn-siteDirect career pageEst. 8–14 LPA
Posted on 8 Sept
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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 clients.
- Develop cloud-native ELT/ETL pipelines and Lakehouse solutions in production cloud environments with onshore and offshore teams.
- Prepare clean, well-modeled data to support analytics, dashboards, AI/ML, and GenAI use cases including LLM-based applications.
Minimum Requirements
- 2-4 years of hands-on data engineering experience.
- Strong SQL and Python programming skills with production code delivered.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and modern data stack tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, or Fivetran.
- Mandatory ability to use AI coding assistants (e.g., GitHub Copilot, Codex) along with strong programming fundamentals.
Ideal Candidate Profile
- Experienced in consulting roles with ability to deliver independently and interface directly with clients.
- Skilled in supporting AI, ML, and GenAI use cases by preparing data for models, feature stores, and vector databases.
- Familiar with data engineering best practices including version control (Git), CI/CD, and architectural standards within fast-paced projects.