Senior Consultant -Databricks

Clinvia LLC
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

API
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Cloud Computing
Cloud Storage
Computer Programming
Databases
Data Architecture
Information Engineering
Data Infrastructure
ETL
Data Systems
Data Warehousing
DevOps
Hive
Software Engineering
Data Streaming
Workflow Management Systems
Data Processing
Google Cloud Platform
Azure
Spark
GIT
Data Lake
PySpark
Information Technology
Deployment Automation
Data Pipelines
Databricks

Job description

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., * 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

Educational Qualification

  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related technical field is required.
  • Master's degree (M.Tech, M.S., or MCA) in a relevant discipline is preferred.
  • Relevant Databricks, Azure, AWS, or GCP certifications are an added advantage.

Application Question(s):

  • How many years of hands-on experience with Databricks?

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