Loading...
SeniorFull-timePythonAzurePostgreSQLREST APIAgileCI/CDGit
Salary Range
$33,150 - $44,850 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Applaudo is seeking a Data Engineer to build scalable, production-grade data ecosystems on Azure. You will transform complex data into reliable analytical assets that drive business decisions.
Key Responsibilities
- →Design and implement conceptual, logical, and physical data models aligned with analytics and business requirements
- →Build, optimize, and monitor end-to-end ETL/ELT pipelines using Azure Data Factory, Databricks, and Logic Apps
- →Migrate legacy SQL-based logic into scalable, resilient PySpark-based processing jobs
- →Apply and automate performance best practices, including partitioning, indexing, schema evolution, and storage optimization
- →Ensure data quality, lineage, governance, and security across environments
- →Establish observability standards, including logging, data quality checks, alerting, and SLA monitoring
- →Collaborate closely with analysts, architects, and business stakeholders to define requirements and data contracts
- →Design and maintain cost-efficient Azure data architectures while continuously improving pipeline reliability and delivery velocity
Requirements
- ✓Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field, or equivalent practical experience
- ✓5+ years of experience designing, building, and maintaining production-grade data pipelines at scale
- ✓Expert-level SQL skills, including window functions, query optimization, partitioning, and execution plan tuning
- ✓Strong expertise in data modeling concepts such as star and snowflake schemas, facts and dimensions, SCDs, and curated/canonical data layers
- ✓Advanced hands-on experience using Python for Data Engineering, including large-scale PySpark transformations
- ✓Strong experience working with Azure data services, including Azure Data Factory, Azure Databricks, ADLS Gen2, Azure SQL, and Azure Logic Apps
- ✓Experience building incremental ETL/ELT pipelines with dependencies, CDC strategies, retries, and failure handling
- ✓Hands-on experience optimizing big data workloads, including partitioning strategies and Delta Lake performance
- ✓Experience integrating REST APIs and handling schema drift and pagination
- ✓Proficiency with Git workflows and CI/CD pipelines for data codebases
- ✓Strong communication skills and ability to work autonomously within Agile environments
- ✓Advanced English proficiency, with the ability to communicate clearly and collaborate directly with US-based clients
Free to sign up. Takes 30 seconds.
