Databricks - Lead/Architect
Guru Schools
Overview: Databricks - Lead/ArchitectFarmington Hills, MI (Day 1 onsite/5 Days onsite)Long TermPrimary skills: Advanced SQL, Azure Databricks, PySpark Azure Data Factory, Azure Datalake.Secondary skills: Azure SQL, Azure Synapse.We are seeking a Tech Lead - Databricks Data Engineer with experience in designing and developing data pipelines using Azure Databricks, Data Factory, and Datalake. The role involves managing large volumes of data, building complex ETL solutions, and working closely with business teams to deliver robust data transformations and analytics solutions.Responsibilities:Design and develop ETL pipelines using ADF for data ingestion and transformation.Collaborate with Azure stack modules like Data Lakes and SQL DW to build robust data solutions.Write SQL, Python, and PySpark code for efficient data processing and transformation.Understand and translate business requirements into technical designs.Develop mapping documents and transformation rules as per project scope.Communicate project status with stakeholders, ensuring smooth project execution. Must have:10+ years of experience in data ingestion, data processing, and analytical pipelines for big data and relational databases.Hands-on experience with Azure services: ADLS, Azure Databricks, Data Factory, Synapse, Azure SQL DB.Experience in SQL, Python, and PySpark for data transformation and processing.Familiarity with DevOps and CI/CD deployments.Strong communication skills and attention to detail in high-pressure situations.Experience in the insurance or financial industry is preferred. **-****Thanks & Regards****Sridhar G****Lead Recruiter****Torque Technologies LLC****Minority Business Enterprise (MBE) Certified | Member of IT Serve Alliance****An E-Verified Company | INC 5000 Company**1135 Kildaire Farm Road, Suite #200, Cary, NC, 27511P: View phone number on click.appcast.io | F: 203-547-6447E: View email address on click.appcast.io: linkedin.com/in/sridhar-g-a956a398Torque Technologies LLC is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.
Vacancy posted 2 days ago
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