Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong brand, mid-level generalist data role, and metro location increase applicant competition.
Core data engineering skills are highly transferable across industries despite optional supply-chain domain familiarity.
Specific mandatory tech stack and 3+ years requirement lead to moderate filtering.
Design, build, and maintain data ingestion and transformation pipelines handling large data volumes across multiple sources like Teradata, SAP ERP, and SQL Server.
Lead production deployment, issue triaging, batch automation troubleshooting to ensure SLA compliance and accurate data delivery.
Provide technical guidance and code reviews for junior consultants, ensuring best practices and quality standards adherence.
Minimum 3 years of experience in Data Architecture, Data Engineering, or related fields.
Hands-on experience with Python, PySpark, SQL, ETL tools like SSIS, and workflow management tools such as Airflow.
Experience integrating data from diverse sources including relational databases and APIs, and using version control platforms like GitHub or Azure DevOps.
Work Experience Required: Minimum 3 years (explicitly mentioned).
Proficient with scalable data pipeline development and cloud-based data platforms, demonstrating strong technical expertise in ETL and big data technologies.
Experienced in production support and able to handle complex issue resolution to meet strict SLAs.
Skilled in collaborating across teams to understand end-to-end data flows and capable of leading technical teams or mentoring junior members.