Note: The job is a remote job and is open to candidates in USA. Precision Technologies is a technology company seeking an experienced Lead Data Engineer to design, develop, and deliver scalable enterprise data platforms. The role leads ETL/ELT pipeline development, cloud data engineering, data warehousing, lakehouse architecture, analytics enablement, optimization, governance, and technical mentoring across Azure, Databricks, Microsoft Fabric, Snowflake, and related technologies.
Responsibilities
- Lead the design and development of scalable ETL/ELT pipelines, Data Lake, Lakehouse, and Data Warehouse solutions
- Develop and optimize data pipelines using Azure Databricks, PySpark, Python, SQL, Microsoft Fabric, Azure Data Factory (ADF), and Azure Synapse Analytics
- Design, develop, and optimize Snowflake Data Warehouse solutions and analytical data models
- Implement Delta Lake, Medallion Architecture, CDC, incremental data processing, schema evolution, and data quality frameworks
- Build curated datasets, semantic models, and analytical data layers supporting Power BI reporting and enterprise analytics
- Optimize Spark jobs, SQL queries, data pipelines, cluster utilization, storage, and cloud costs
- Implement data integration solutions across Azure services, Snowflake, Databricks, Microsoft Fabric, and enterprise source systems
- Develop batch and near real-time data processing solutions using modern cloud data engineering technologies
- Implement CI/CD pipelines, Git-based development, automated deployments, monitoring, logging, and production support
- Establish data governance, security, lineage, metadata, and access-control best practices
- Conduct code reviews, architecture discussions, technical design sessions, and mentor Data Engineers
- Collaborate with Data Architects, BI Developers, Data Scientists, Business Analysts, and business stakeholders to deliver enterprise data solutions
Skills
- • 8–12+ years of Data Engineering experience
- • Strong hands-on expertise in Databricks, PySpark, Python, and SQL
- • Strong experience with Microsoft Fabric, OneLake, Fabric Data Factory, Fabric Lakehouse, and Fabric Warehouse
- • Strong hands-on Snowflake experience including data warehousing and analytical workloads
- • Experience with Azure Synapse Analytics and Azure Data Factory (ADF)
- • Strong understanding of Power BI, Semantic Models, Data Modeling, and DAX
- • Hands-on experience with Delta Lake, Lakehouse Architecture, Medallion Architecture, CDC, and incremental processing
- • Experience with Azure cloud services, CI/CD, Git, DevOps, data governance, and production support
- • Strong understanding of ETL/ELT, Data Warehousing, Data Lakes, Data Integration, and Distributed Data Processing
- • Strong communication, problem-solving, technical leadership, and stakeholder management skills
- Work Authorization: H4 EAD, L2S EAD, GC EAD, Green Card, US Citizen
- Location: USA (Hybrid / Onsite)
- Experience: 8–12+ Years (Data Engineering & Cloud Data Platform Experience)
- • Unity Catalog
- • Fabric Lakehouse / Fabric Warehouse
- • Snowflake Streams & Tasks
- • Microsoft Purview
- • Terraform
- • Azure DevOps
- • GitHub Actions
- • Apache Kafka
- • Azure Event Hubs
- • Spark Structured Streaming
- • Experience with Data Quality, Data Lineage, Metadata Management, and Data Governance
Benefits
- Full-Time (W2 Only)
- USA (Hybrid / Onsite)
Company Overview