Job Description

Role Title: Sr. Data Engineer (ETL/ELT) 

Experience Level: 5–12 years 

IC Level: IC3 / IC4 

Location: Hyderabad (60%) / Bangalore (40%) 

Experience & Core Engineering 

• 5–12 years of proven track record in building production-grade data pipelines and 

ETL/ELT solutions at enterprise scale 

• Strong proficiency in Python for data engineering — including PySpark, pandas, 

SQLAlchemy, and data processing libraries 

• Advanced SQL skills: complex joins, window functions, query optimization, 

performance tuning, and analytical query design 

• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and cloud-native 

data services

Data Infrastructure & Tooling 

• Proficiency with orchestration frameworks: Apache Airflow, Apache Spark, 

Kafka, MuleSoft, or equivalent 

• Hands-on experience with modern data warehouses and lakehouses: 

Snowflake, Databricks, BigQuery, or Redshift — including data modelling, 

optimization, and cost management 

• Working knowledge of ERP/CRM system integrations: SAP, Oracle, Salesforce, 

Workday — extracting data via REST APIs, database connectors, or certified adapters 

Analytics & Data Modelling 

• Experience building analytical content: metrics, KPIs, dashboards, and data 

products that directly serve business decision-making 

• Solid understanding of data quality principles, testing frameworks, and data 

validation methodologies 

• Familiarity with any analytics and data visualization tools such as Tableau, 

Looker, or Power BI — and how they integrate into data workflow solutions 

AI & Collaboration 

• Demonstrated experience leveraging or critically thinking about AI 

integration in data engineering workflows, decision-making, and problem-solving 

— including using AI-powered tools, automating workflows, or evaluating AI's impact 

on data pipelines 

• Strong communication, collaboration, and technical skills to work effectively 

within cross-functional product engineering teams