• Define and execute data engineering strategy aligned with business objectives
• Design and oversee enterprise-level data architecture decisions for cloud infrastructure
• Provide technical leadership for complex data infrastructure projects
• Lead, mentor, and develop a team of 5-8 data engineers
• Ensure data quality, governance, and compliance with data protection regulations

Requirements

Bachelor's degree in Engineering or related technical field
At least 9 years of hands-on experience as a Data Engineer, Data Architect or related roles
Experience working on Snowflake or Google Cloud Platform (GCP) or MS Azure
Proficiency in Talend or similar tool for complex ETL workflows
Advanced SQL skills including complex queries, stored procedures, etc.
Python with experience in data manipulation libraries and PySpark
Understanding of REST API, building and consuming APIs for data ingestion
Hands-on experience with Databricks or similar environments

🔍 ATS Optimization Keywords
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Hard Skills

data engineering
data architecture
ETL
SQL
Python
PySpark
REST API
Databricks
Snowflake
Google Cloud Platform

Soft Skills

technical leadership
mentoring
team development
data quality
governance
compliance

Certifications & Qualifications

Bachelor's degree in Engineering

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