Senior Consultant (Databricks)
Unison Group
IndiaremotePosted 7 days ago
Skill Required
Senior-ConsultantData-EngineerDatabricks-ConsultantBig-Data-ConsultantCloud-Data-EngineerSenior-Databricks-ArchitectSenior-Databricks-DeveloperSenior-Databricks-EngineerData-Engineer-Senior-ConsultantData-Architect-Senior-ConsultantSenior-Data-ConsultantDatabricksdata engineeringtroubleshootingAirflowCD pipelinesGCPEngineeringR ProgramminganalyticalanalyticssecuritySparkdesignDevOpsAzureCI/CDUnityCloudAPIsETLSQLAWSGitandCIFulltime
Key highlights
- Senior Consultant – Databricks role focusing on designing, developing, and optimizing modern data platforms
- Strong experience with Databricks Platform required
- Hands-on expertise in Apache Spark, PySpark, and Spark SQL expected
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) needed
- Role involves building scalable, secure, and high-performance data solutions for analytics, AI, and business intelligence
Role overview
We are seeking an experienced Senior Consultant – Databricks to design, develop, and optimize modern data platforms on Databricks. The ideal candidate will have strong expertise in data engineering, cloud technologies, ETL development, and big data processing. You will collaborate with cross-functional teams to build scalable, secure, and high-performance data solutions that support analytics, AI, and business intelligence initiatives.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks.
- Build and optimize ETL/ELT workflows using PySpark and Spark SQL.
- Develop and manage Delta Lake architecture for reliable and efficient data processing.
- Integrate data from multiple sources including databases, APIs, streaming platforms, and cloud storage.
- Collaborate with business stakeholders, data analysts, and data scientists to understand business requirements.
- Optimize Spark jobs for performance, scalability, and cost efficiency.
- Implement data quality, governance, and security best practices.
- Monitor production workloads and troubleshoot performance issues.
- Automate deployment processes using CI/CD pipelines.
- Mentor junior team members and provide technical guidance during project delivery.
Requirements
- Strong experience with Databricks Platform.
- Hands-on expertise in Apache Spark, PySpark, and Spark SQL.
- Experience with Delta Lake, Unity Catalog, and Databricks Workflows.
- Strong SQL programming and data modeling skills.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Experience working with data lakes, data warehouses, and modern data architectures.
- Knowledge of orchestration tools such as Azure Data Factory (ADF), Apache Airflow, or similar.
- Experience with version control tools such as Git.
- Understanding of CI/CD practices and DevOps concepts.
- Excellent analytical, troubleshooting, and problem-solving skills.