Senior Data Engineer (Azure)
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Job Location:
Mexico City - Mexico
Monthly Salary:
Not Disclosed
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
About You
You are a Data Engineer passionate about building scalable production-grade data ecosystems on Azure. You thrive on transforming complex and fragmented data into reliable analytical assets that drive meaningful business decisions. You work with a high level of autonomy bring strong architectural foundations and consistently apply high-quality engineering practices across data modeling pipelines orchestration and performance optimization.
You enjoy simplifying complexity whether migrating legacy SQL logic into distributed PySpark jobs designing canonical data layers or ensuring data integrity governance and observability across systems. Collaboration clarity and business impact are core to how you work.
You Bring to Applaudo the Following Competencies:
- Bachelors 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 Storage Azure SQL Azure Logic Apps (orchestration)
- 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 (OPTIMIZE Z-ORDER VACUUM).
- 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.
- Experience with Snowflake PostgreSQL or cloud cost optimization strategies (nice to have).
- Advanced English proficiency with the ability to communicate clearly and collaborate directly with US-based clients.
You Will Be Accountable for the Following 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.
Qualifications :
- 5 years of experience as a Data Engineer.
- Strong experience building data pipelines on Azure.
- Advanced SQL and Python (PySpark) experience.
- Experience working with production-grade data platforms at scale.
- Advanced English proficiency.
Additional Information :
About Us
At Applaudo we partner with ambitious companies to transform through technology with an AI-native mindset at the core of how we think build and deliver. We combine strategic clarity world-class execution and modern engineering practices to help clients accelerate measurable business outcomes and stay competitive.
We are building a high-performance culture grounded in five values: Empowering Excellence Collaborative Teamwork Unsolicited Respect Consistent Transparency and Efficient Communication. These define how we work how we make decisions and how we hold ourselves accountable.
Applaudo is a place for people who want to grow fast take ownership and work alongside strong teams. Joining us means being part of an organization that is evolving intentionally investing in modern ways of working and embracing AI as a lever for productivity innovation and impact.
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
