Data Bricks Expert

Hello ,

Greetings from eSolutionsFirst.

Job Description:

Mode: Work from Office 5 days
Job Title: Databricks Expert / Solution Engineer
Location: Hyderabad, India (100% On-site)
Employment Type: Full-time
Experience Level: Senior (10+ years)

Key Responsibilities:
Design, develop, and maintain scalable data engineering solutions using Databricks.
Build and optimize ETL/ELT pipelines using Apache Spark, PySpark, and SQL.
Develop and manage Deta Lake architectures for reliable and efficient data processing.
Collaborate with business stakeholders, data scientists, and application teams to understand requirements and deliver robust solutions.
Design and implement Lakehouse architectures on cloud platforms such as Azure, AWS, or Google Cloud.
Optimize Databricks workloads for performance, scalability, and cost efficiency.
Implement data governance, security, and access controls.
Troubleshoot production issues and provide technical support for data platforms.
Develop CI/CD pipelines and automate deployment of Databricks assets.
Create technical documentation, architecture diagrams, and operational procedures.
Stay current with Databricks features, cloud services, and industry best practices.

Required Qualifications
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
10+ years of experience in Data Engineering or Analytics Engineering.
5+ years of hands-on experience with Databricks.
Strong expertise in Apache Spark, PySpark, SQL, and Python.
Experience with Delta Lake, Unity Catalog, and Databricks Workflows.
Strong understanding of data warehousing and modern Lakehouse architecture.
Experience working with Azure Databricks, AWS Databricks, or Google Cloud Databricks.
Knowledge of data modeling, ETL/ELT processes, and performance optimization.
Experience with Git, Azure DevOps, GitHub Actions, or similar CI/CD tools.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent verbal and written communication skills.
Preferred Qualifications:
Databricks Certified Data Engineer Associate or Professional certification.
Experience with Azure Data Factory, Azure Synapse, AWS Glue, or similar data integration tools.
Knowledge of streaming technologies such as Structured Streaming or Apache Kafka.
Familiarity with Infrastructure as Code tools such as Terraform.
Experience working in Agile/Scrum environments.

Technical Skills:
Databricks
Apache Spark
PySpark
SQL
Python
Delta Lake
Unity Catalog
Azure, AWS, or Google Cloud
Data Engineering
ETL/ELT
Git
CI/CD
Data Warehousing
Lakehouse Architecture.

If you are interested in this Opportunity feel free to reach me out.

Connect: [email protected]