Lead the design, development, and implementation of advanced data pipelines and ETL processes using Azure Data Lake Storage and Azure Data Factory.
Architect and manage scalable data solutions on Databricks for high-performance data processing and analytics.
Oversee the development and optimization of SQL Server databases and queries to meet complex reporting and analytical needs.
Write and maintain Python scripts for sophisticated data transformation, analysis, and automation tasks.
Spearhead data migration projects from on-premises systems to Azure cloud services, ensuring strategic planning, minimal disruption, and data integrity.
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand and translate data requirements into technical solutions.
Troubleshoot and resolve complex data-related issues, ensuring high data quality and reliability.
Monitor, optimize, and scale data workflows to improve performance and cost-efficiency.
Develop and enforce best practices for data engineering processes, documentation, and governance.

Requirements

5-7 years experience working with enterprise level relational and/or non-relational database and ETL/ELT technologies.
Extensive experience with Azure Data Lake Storage, Azure Data Factory, Databricks, SQL Server, and Python.
Demonstrated experience in the implementation and creation of both on-premise SQL Server Databases as well as Azure SQL Databases.
Deep understanding of data modeling, ETL processes, data warehousing concepts, and data architecture.
Proven track record of managing and executing large-scale data migration projects from on-premises to cloud environments.
Advanced proficiency in SQL for complex querying and database management.
Strong experience with Python for advanced data manipulation and automation tasks.
In-depth knowledge of cloud computing concepts and services, particularly within Azure.
Demonstrated leadership skills, with the ability to mentor and guide junior team members.
Excellent problem-solving abilities and attention to detail.
Exceptional communication skills and experience working collaboratively in a team-oriented environment.
Experience with data governance and data quality frameworks.
Familiarity with Azure services (e.g., Azure Synapse Analytics, Azure SQL Database, Cosmos DB) and big data technologies.
Experience with semi-structured/NoSQL databases is a plus.
Azure data certifications (e.g., Azure Data Engineer Associate) are a plus but not required.

Applicant Tracking System Keywords

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

Hard Skills & Tools

ETL processesdata pipelinesAzure Data Lake StorageAzure Data FactoryDatabricksSQL ServerPythondata modelingdata warehousingcloud computing

Soft Skills

leadershipproblem-solvingattention to detailcommunicationcollaborationmentoringstrategic planningtroubleshootingoptimizationgovernance

Certifications

Azure Data Engineer Associate