Databricks_Engineer

We are #Hiring: #Databricks_Engineer

Job Title : #Databricks_Engineer

Location : Pune - ( Hybrid )

Total Yrs. of Experience : 7 to 8 Years

️ Duration: Contract to Hire (C2H)

Notice Period: Immediate Joiners

Job description*:

#Key Responsibilities:

• Design, develop, and maintain data pipelines using Databricks, Apache Spark, and Delta Lake

• Build ETL/ELT workflows to ingest, transform, and process structured and unstructured data

• Optimize Spark jobs for performance, scalability, and cost efficiency

• Implement data models and manage data lakes/ lakehouses using Delta tables

• Collaborate with data scientists and analysts to support machine learning and advanced analytics

• Integrate Databricks with cloud services (Azure, AWS, or GCP)

• Ensure data quality, reliability, and governance across pipelines

• Implement CI/CD and version control for Databricks notebooks and jobs

• Monitor jobs, troubleshoot failures, and resolve performance issues

• Follow security and compliance best practices

#Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field

• 5+ years of experience in Data Engineering or Big Data development

• Strong hands on experience with Databricks

• Proficiency in Apache Spark and distributed data processing

• Strong programming skills in Python and/or Scala

• Knowledge of cloud platforms (AWS, Azure, or GCP).

• Experience working with Delta Lake, Parquet, ORC

• Solid knowledge of SQL for data transformation and analysis

• Experience with cloud platforms (Azure Databricks / AWS Databricks / GCP Dataproc)

• Understanding of data warehousing concepts and data modeling

• Familiarity with Git and CI/CD practices

#Preferred Qualifications:

• Experience with Apache Airflow, Azure Data Factory, or similar orchestration tools

• Knowledge of machine learning workflows on Databricks

• Experience with Unity Catalog, data governance, and access controls

• Databricks or cloud certifications (Azure/AWS/GCP)

• Exposure to real-time data processing (Kafka, Spark Streaming)

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Thanks & Regards

B.Siva Kumar

Technical Recruiter

Burgeon IT Services

Email Id:

Ph no: +91 9281038402

Website: www.burgeonits.com

Linkedin : linkedin.com/in/siva-kumar-aaa348126

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