Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes and Databricks Delta Lake
Ensure data quality and integrity throughout the process
Implement efficient ELT/ETL processes to ensure data quality, consistency, and reliability
Develop transformation processes to clean, aggregate, and enrich raw data, ensuring it is in the appropriate format for downstream analysis and consumption
Integrate data from diverse sources to provide a unified view of information
Design and implement efficient data models and database schemas that support the storage and retrieval of structured and unstructured data
Optimize data storage and access for performance and scalability
Implement knowledge of modern data processing principles to streamline data import/transformation processes
Collaborate with stakeholders to define and enforce data governance standards and policies

Requirements

Bachelor’s Degree level qualification in a computer or IT related subject
10+ years of overall IT industry experience
8+ years of overall Bigdata data pipeline experience
8+ years of experience as a Data Engineer, with a focus on designing and implementing data solutions on the Azure Databricks
8+ years of experience on cloud-based development including Azure Services, Azure Devops, Kubernetes, Docker
Experience on Snowflake is plus
Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect is a plus

Benefits

generous medical care
insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
retirement savings plan (401K) with company match
paid-time off including vacation, sick leave, short term disability, and family care responsibilities
access to our Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans)

Applicant Tracking System Keywords

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

Hard Skills & Tools

data pipelinesELTETLdata transformationdata modelingdatabase schemasdata qualitydata governanceBigdatacloud-based development

Soft Skills

collaborationstakeholder engagement

Certifications

Azure Data Engineer AssociateAzure Solutions Architect