G
GyanSys Inc.
Lead Databricks Developer
Skills
SQL QueriesData EngineeringDatabricksPySparkSupply Chain
1 month ago
Share this opportunity
Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.
Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
18 September 2026
What they need
- Lead Databricks Development: Lead the design, development, and implementation of scalable data engineering solutions using Databricks , ensuring high-quality and reliable data pipelines for enterprise and semiconductor/manufacturing use cases.
- Technical Leadership: Provide technical leadership to a team of data engineers, guide day-to-day development activities, conduct code/design reviews, resolve technical challenges, and ensure adherence to engineering best practices.
- Strong SQL Expertise: Demonstrate strong hands-on expertise in SQL , including complex joins, CTEs, subqueries, window functions, aggregations, data transformation, performance tuning, and troubleshooting of complex queries.
- Databricks & Data Engineering: Strong working knowledge of Databricks, PySpark, Delta Lake, notebooks, workflows/jobs, data transformation, and ETL/ELT concepts . Should be comfortable remaining hands-on while leading the team.
- Client & Stakeholder Management: Act as a key technical point of contact for client stakeholders. Independently participate in discussions with business and technical teams, understand their requirements, ask the right questions, and provide clear technical perspectives and solutions.
- Requirement Gathering & Translation: Work closely with business stakeholders to understand data requirements and translate business problems into technical requirements, data models, transformation logic, and actionable development tasks for the engineering team.
- Communication & Confidence: Excellent verbal and written communication skills with the confidence to lead discussions with senior client stakeholders. Should be able to explain complex technical concepts in a simple and business-friendly manner and confidently challenge or clarify requirements when required.
- Semiconductor / Manufacturing Data: Experience working with semiconductor, manufacturing, supply chain, equipment, production, quality, or other industrial data is preferred. Exposure to high-volume, complex, and time-series manufacturing datasets will be an advantage.
- Data Quality & Performance: Ensure data quality, reliability, scalability, and performance across pipelines. Troubleshoot data issues, identify root causes, and work with relevant teams to implement sustainable solutions.
- Ownership & Delivery: Take end-to-end ownership of assigned data engineering initiatives, including requirement clarification, technical design, task allocation, development oversight, stakeholder communication, delivery tracking, and production support. Should be capable of managing multiple priorities and coordinating a sizeable engineering team .
Other offers great for you!
These companies are also looking for great profiles
A
Avelsen
Databricks Platform Administrator
Freelance
92250 La Garenne-Colombes, France
Hybrid, Onsite
Skills
PythonDatabricksGitApache SparkDatabricks administrationUnity CatalogCI/CD
6 days ago
Quick apply
H
Hoxton Partners
Techlead Databricks (H/F)
670
Freelance
Paris, France
Hybrid
Skills
DatabricksPySpark
3 days ago
Quick apply
A
Anonyme
Data Platform Engineer Senior – Databricks
550
Freelance
92250 La Garenne-Colombes, France
Hybrid
Skills
Databricks
9 minutes ago
Quick apply
No company information available.