Remote Position
[Remote] Senior Data Engineer
🌍 Remote · United States
💼 Full-time
Note: The job is a remote job and is open to candidates in USA. Precision Technologies is seeking an experienced Azure Data Engineer to join its team remotely on a full-time basis. The Senior Data Engineer will design, build, optimize, and maintain scalable Azure data pipelines, data warehouses, lakehouse architectures, ingestion frameworks, and analytics solutions while ensuring data quality, governance, security, and performance. The role also involves collaborating with cross-functional teams, monitoring cloud resources, automating deployments, and mentoring junior data engineers.
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics to process and transform large volumes of structured and unstructured data
- Build and optimize big data processing solutions using Apache Spark, PySpark, Scala, or SQL within Azure Databricks, ensuring high performance and efficient data transformation
- Design and implement modern data warehouse and lakehouse architectures using Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), and Azure SQL Database to support enterprise-level analytics and reporting
- Develop and maintain data ingestion frameworks to integrate data from multiple sources such as databases, APIs, flat files, streaming platforms, and third-party applications into Azure-based data platforms
- Implement data modeling techniques including star schema, snowflake schema, and dimensional modeling to support business intelligence and analytical workloads
- Develop SQL-based data transformation and data quality validation processes using T-SQL, Spark SQL, and stored procedures to ensure accuracy, consistency, and reliability of data
- Integrate data engineering solutions with business intelligence and analytics tools such as Power BI, Tableau, or Azure Analysis Services for reporting and data visualization
- Implement real-time and streaming data processing solutions using Azure Event Hub, Azure Stream Analytics, or Apache Kafka to support near real-time analytics
- Optimize data storage, partitioning, indexing, and query performance across Azure-based data platforms to ensure efficient data retrieval and processing
- Implement data governance, security, and compliance using Azure Active Directory (AAD), Role-Based Access Control (RBAC), data encryption, and data masking techniques
- Automate deployment and data pipeline orchestration using CI/CD pipelines with Azure DevOps, GitHub Actions, or Jenkins, ensuring reliable and consistent deployment processes
- Monitor and troubleshoot data pipelines, workflows, and cloud resources using Azure Monitor, Log Analytics, and Application Insights to ensure system reliability and performance
- Collaborate with data architects, DevOps engineers, and cross-functional Agile teams to design scalable data engineering solutions aligned with enterprise data strategies
- Mentor junior data engineers and contribute to best practices in data engineering, cloud architecture, and performance optimization
Skills
- • 10+ Years of experience in data engineering
- • Cloud Platform: Microsoft Azure
- • Azure Data Services: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure SQL Database
- • Big Data Technologies: Apache Spark, PySpark, Scala, Spark SQL
- • Programming Languages: Python, SQL, Scala
- • Data Warehousing: Azure Synapse Analytics, Azure SQL Data Warehouse, Snowflake Concepts, Dimensional Modeling
- • ETL/ELT Tools: Azure Data Factory, Databricks Workflows
- • Streaming Technologies: Azure Event Hub, Azure Stream Analytics, Apache Kafka
- • Databases: SQL Server, Azure SQL Database, PostgreSQL, MySQL, NoSQL
- • Data Visualization Tools: Power BI, Tableau
- • Version Control: Git, GitHub, Bitbucket, GitLab
- • CI/CD Tools: Azure DevOps, Jenkins, GitHub Actions
- • Containerization: Docker, Kubernetes
- • Operating Systems: Windows, Linux
- • Methodologies: Agile, Scrum, DevOps, DataOps
- • Experience with data governance and compliance frameworks
Benefits
- Remote work arrangement
Company Overview
Company H1B Sponsorship