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