Data Engineer (Azure)
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Job Location:
Monthly Salary:
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
About You
You are a Data Engineer passionate about building scalable production-grade data ecosystems in Azure. You thrive when transforming complex fragmented data into reliable analytical assets that drive meaningful business decisions. You operate with autonomy bring strong architectural foundations and champion high-quality engineering practices across data modeling pipelines orchestration and performance optimization.
You love simplifying complexity whether converting legacy SQL logic into distributed PySpark jobs designing canonical data layers or ensuring data integrity and governance across systems. Collaboration clarity and business impact fuel your work.
You bring to Applaudo the following competencies:
- Bachelors Degree in Computer Science Data Engineering Software Engineering or related field or equivalent experience.
- 5 years of experience designing building and maintaining production data pipelines at scale.
- Expert-level SQL: window functions query performance partitioning execution plan tuning.
- Strong knowledge of data modeling: star/snowflake facts & dimensions SCDs curated/canonical layers.
- Advanced hands-on experience with Python for Data Engineering including PySpark transformations at scale.
- Strong experience working with Azure data services:
- Azure Data Factory
- Azure Databricks
- ADLS Gen2 / Azure Storage
- Azure SQL
- Azure Logic Apps (orchestration)
- Experience building incremental ETL/ELT pipelines: dependencies CDC retries failure handling.
- Hands-on experience optimizing big data workloads: partitioning strategies Delta Lake performance (Z-order OPTIMIZE VACUUM).
- Solid experience integrating REST APIs and handling schema drift & pagination.
- Proficiency with Git workflows and CI/CD for data codebases.
- Strong communication collaboration and autonomy in Agile environments.
- (Nice to have): Experience with Snowflake PostgreSQL cost optimization in cloud workloads.
You will be accountable for the following responsibilities:
- Design and implement conceptual logical and physical data models aligned to analytics and business needs.
- Build optimize and monitor end-to-end ETL/ELT workflows using ADF Databricks and Logic Apps.
- Convert existing SQL and legacy pipeline logic into resilient and scalable PySpark jobs.
- Automate performance best practices: partitioning indexing schema management storage optimization.
- Ensure data quality lineage governance and security across environments.
- Establish observability: logging DQ checks alerting and SLA monitoring.
- Collaborate closely with analysts architects and business stakeholders on requirements and data contracts.
- Maintain cost-efficient cloud architectures and continuously improve pipeline reliability and velocity.
Qualifications :
Strong proficiency in Azure services.
Additional Information :
Here at Applaudo Studios values as trust communication respect excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.
Submit your application today and dont miss this opportunity to join the Best Digital team in the Region!
We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios and thats why the perks that we offer are deeply thought and designed as a way to thank them for their commitment and excellence.
Some of our perks and benefits:
- Celebrations
- Special discounts*
- Entertainment area*
- Modern Work Spaces*
- Great work environment
- Private medical insurance*
*Benefits may vary according to your location and/or availability. Request further information when applying.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
