Design and develop scalable data warehousing solutions, building ETL/ELT pipelines in Big Data environments
Lead technical discussions on data architecture strategies and methodology approaches
Collaborate with Data Product Managers, Data Architects, and other Data Engineers to design, implement, and deliver successful data solutions
Collaborate with CDO Policy and Security teams to establish comprehensive data governance policies
Gather, mine, and process large-scale structured and unstructured datasets using advanced techniques

Requirements

3 – 5 years of experience in data engineering and data architecture
Programming Languages: Proficiency in Python, SQL, Scala for data processing
Cloud Platforms: Hands-on experience with Snowflake, Databricks, AWS & Azure, or GCP data services
Strong background in implementing data security policies, like encryption/decryption, anonymization, and other privacy-preserving techniques
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Mathematics, or related field

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata architectureETLELTPythonSQLScaladata processingdata securityencryption

Soft Skills

leadershipcollaborationcommunication