Senior Analyst - Data Engineering
LatentView Analytics (company site, opens in a new tab)4–6 yrsChennaiOn-siteDirect career pageEst. 12–18 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and design the data architecture and harmonized data mart integrating media spend, impressions, offers, trade investment, and sell-out on a weekly basis.
- Define and maintain the variable dictionary for the data mart to ensure consistent data usage.
- Take ownership of MLOps including deployment automation, model refreshes, CI/CD, and model monitoring.
Minimum Requirements
- 4 to 6 years of experience in data engineering or related fields.
- Strong skills in data modelling and warehouse design.
- Proficiency in advanced SQL, Python, and cloud data platforms such as Snowflake, BigQuery, or Databricks.
- Experience with orchestration tools like Airflow/dbt and knowledge of MLOps, CI/CD, data governance, and cost optimization.
Ideal Candidate Profile
- Experienced in end-to-end data engineering with ownership of architectural design and operational deployment.
- Skilled in integrating multiple data sources for reconciled business insights on a regular cadence.
- Comfortable working with MLOps practices and automation for scalable model deployment and monitoring in cloud environments.