Tech Stack
AzureCloudETLGoogle Cloud PlatformPySparkPythonSQL
About the role
- 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
- Health insurance
- Flexible working arrangements
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata architectureETLSQLPythonPySparkREST APIDatabricksSnowflakeGoogle Cloud Platform
Soft skills
technical leadershipmentoringteam developmentdata qualitygovernancecompliance
Certifications
Bachelor's degree in Engineering