Analyst - Data Engineering

• *Designation : Analyst \- Data Engineering**

• *Level : L1**

• *Location : Chennai, Tamil Nadu , India**

• *Experience : 1 to 3 years.**

**Job Role**

Data Architecture \& Migration: Lead the architectural shift from Salesforce Datorama to an enterprise modern data stack (Fivetran \+ AWS S3 \+ Databricks \+ Tableau).

Ingestion \& Integration: Configure and manage automated Fivetran connectors to pull data from diverse paid media channels (e.g., Google Ads, Meta Ads, LinkedIn Ads, programmatic media) and CRM/CRMA sources into AWS S3 raw storage.

Databricks Lakehouse \& Data Pipelines: Design, build, and optimize PySpark/SQL data pipelines within Databricks to transform raw landing data into clean, aggregated, and business\-ready reporting models.

Tableau Reporting Integration: Map and repoint existing Salesforce Datorama reporting logic to the new Databricks gold\-layer tables and view structures in Tableau Desktop/Server.

Data Quality \& Validation: Perform rigorous end\-to\-end data validation and reconciliation between historical Datorama dashboards and new Tableau dashboards to ensure data parity and metric consistency.

Performance Optimization: Optimize Databricks clusters, Delta Lake tables, and SQL queries to minimize processing runtime and cloud resource costs.

Collaboration \& Documentation: Work closely with marketing analysts, business stakeholders, and client leadership to map legacy Datorama metrics to the new target schemas and document pipeline workflows.

**Required skills**

Databricks, PySpark, and SQL,Fivetran, AWS S3, Tableau

Job Snapshot

Updated Date

03\-11\-2026

Job ID

J\_6314

Location

Chennai, Tamil Nadu, India

Experience

1 \- 3 Years

Employee Type

Permanent