Senior Data Engineer
Wise Skulls
Job Description
Hiring: Lead Data Engineer - Databricks
\n \nImportant
\n \nVisa: USC and GC only
\nLocation: Manhattan, New York (Onsite)
\n \nJD:
\n \nRole Overview
\n- \n
- Client is seeking a Lead Data Engineer with deep hands-on expertise in Databricks, SQL, Python, and \n
- PySpark to design, develop, and optimize scalable data engineering solutions. \n
- This role offers an opportunity to work on enterprise-scale data platforms supporting analytics, digital \n
- products, and emerging AI use cases. The candidate will drive Databricks engineering best practices, \n
- solve challenging technical problems, and provide technical leadership across multiple initiatives. \n
Key Responsibilities
\n \n- \n
- Design and develop scalable data pipelines on Databricks, following Medallion Architecture. \n
- Build and optimize data ingestion, transformation, and orchestration workflows for batch and \n
- incremental processing. \n
- Optimize data processing workloads, SQL queries, and compute configurations for performance \n
- and cost efficiency. \n
- Ensure data quality, observability, lineage, and reliability across production pipelines, including \n
- troubleshooting complex issues. \n
- Provide hands-on technical leadership through solution design, code reviews, reusable \n
- engineering patterns, and mentoring other engineers. \n
Required Qualifications
\n \n- \n
- 6+ years of Data Engineering experience, with substantial hands-on experience delivering \n
- production solutions on Databricks. \n
- Strong proficiency in SQL, Python, and PySpark, including distributed data processing and \n
- performance optimization. \n
- Strong understanding of Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and \n
- workflow orchestration. \n
- Familiarity with Git, CI/CD, and production deployment practices. \n
- Strong troubleshooting, problem-solving, and communication skills. \n
Preferred Qualifications
\n \n- \n
- Databricks Certified Data Engineer Associate or Professional certification. \n
- Experience working with AWS cloud services, particularly S3 and cloud-based data integrations. \n
- Experience with advanced ingestion patterns such as Auto Loader, Structured Streaming, or \n
- Change Data Capture (CDC). \n
- Familiarity with Databricks Asset Bundles or Apache Airflow. \n
- Experience with large-scale media datasets: streaming, clickstream, or advertising data. \n
Interested? Apply now or DM us to explore this opportunity! You can share resumes at View email address on ziprecruiter.com
Vacancy posted 4 days ago
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