
Databricks Consultant
2 weeks ago
About GyanSys Inc.
GyanSys Inc. is a leading global systems integrator headquartered in the U.S., specializing in SAP, Salesforce, Microsoft, and ServiceNow solutions. With over 2,000 consultants worldwide and 300+ enterprise clients, GyanSys is at the forefront of delivering digital transformation and business process automation across industries.
Our India delivery centers in Bengaluru, Hyderabad, and Pune play a critical role in driving global implementations for Fortune 500 companies. At GyanSys, you'll find a collaborative culture, cutting-edge projects, continuous learning opportunities , and the ability to make a real impact .
Job Title: Databricks Consultant
Experience: 3-5 Years
Location: Bengaluru (Work from Office)
Immediate Joiners Preferred
Roles and Responsibilities – Databricks Consultant (3–5 Years Experience)
1. Data Engineering & Pipeline Development
- Design, develop, and maintain scalable ETL/ELT pipelines on Databricks using Apache Spark .
- Proficient in Python, SQL and R.
- Implement data transformations using PySpark, SQL, Delta Lake , and Databricks notebooks .
- Build and optimize batch and streaming data pipelines based on business requirements.
2. Platform Implementation & Integration
- Assist in the setup, configuration, and administration of the Databricks workspace , clusters, and Unity Catalog.
- Integrate Databricks with various data sources like Azure Data Lake, AWS S3, Kafka, and relational databases.
- Support ingestion from source systems and delivery to analytics platforms or data warehouses.
3. Performance Tuning & Optimization
- Optimize Spark jobs for cost efficiency and runtime performance .
- Monitor and troubleshoot cluster performance, job failures, and data quality issues.
- Implement data caching, partitioning, and optimization techniques using Delta Lake.
4. Collaboration & Stakeholder Communication
- Work closely with data scientists, analysts, and business users to gather and translate requirements.
- Support analytics and ML teams by preparing clean, structured, and timely datasets.
- Participate in Agile ceremonies (scrum, sprint planning, retrospectives) as part of a cross-functional team.
5. Documentation & Best Practices
- Create and maintain technical documentation for pipelines, data flows, and system components.
- Follow industry and organizational best practices for code quality, version control, and CI/CD .
6. Governance, Quality, and Security
- Implement data validation, quality checks, and logging frameworks within Databricks pipelines.
- Support data security, compliance , and role-based access control (RBAC) practices via Unity Catalog or cloud-native IAM.
- Ensure auditability and traceability of all jobs and data movement.
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