View job listing
Apply to Sr. Data Engineer (ETL/ELT)
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
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