Senior Data Engineer
ProducePay
AWSCloudPostgresTerraform
Job Level
Mid-LevelSenior
Tech Stack
AzureCloudETLPythonSQL
About the role
- Design and implement data pipelines with Azure Data Factory (ADF) for ingestion, transformation, and orchestration.
- Develop and optimize SQL/T-SQL queries and stored procedures for data processing.
- Build scalable solutions in Azure Synapse Analytics (data modeling, partitioning, performance tuning).
- Implement and support data lake and warehouse architectures using ADLS Gen2 and Synapse.
- Ensure data quality, security, and governance with best practices.
- Monitor, debug, and optimize ETL pipelines for performance and reliability.
- Automate data transformation and scheduling processes.
- Contribute to CI/CD pipelines and DevOps practices.
- Collaborate with architects, BI developers, and stakeholders to deliver high-quality solutions.
Requirements
- 5+ years in data engineering
- 2–3 years on Azure
- Hands-on experience with ADF, Azure Synapse Analytics, and Azure SQL Database
- Strong SQL/T-SQL proficiency and performance tuning skills
- Knowledge of ADLS Gen2, data modeling, and data warehouse concepts
- Experience integrating multiple data sources (REST APIs, DBs, flat files)
- Familiarity with CI/CD, Git, and agile methodologies
- Understanding of data security, privacy, and governance
- Desired: Experience with Power BI, Azure Databricks, or Python
- Languages: Advanced Oral English, Native Spanish
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