Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Position - Databricks


Shift – 1pm to 10pm/3 pm to 12 am Pune - Hybrid

Mandate: Advanced (4-6 yrs)


Key Responsibilities:

• Design, develop, and optimize data pipelines and ETL workflows using Databricks.

• Implement scalable data integration solutions for large datasets across diverse data sources.

• Build and maintain data architectures for real-time and batch processing.

• Collaborate with data scientists, analysts, and stakeholders to ensure the delivery of high-quality data solutions.

• Monitor, troubleshoot, and optimize data workflows for performance and cost-efficiency.

• Ensure data governance, security, and compliance in all processes. Qualifications:

Data Lake/Data Warehouse/Lakehouse Concepts

• strong background in data engineering practices, cloud platforms, big data technologies and big data processing frameworks.


including Spark, Delta Lake

3+ Year Hands-on experience on Spark is mandatory using Databricks, Azure/AWS and associated data services.

• 3+ Years Hands-on experience in SQL, Unix & advanced Unix Shell Scripting, Kafka

• Expertise in Python/Java/Scala

GIT, SVN, Build Tools like Ant, Maven etc., CI/CD pipelines

• Hands on file transfer mechanism (NDM, sFTP etc

• Knowledge of Schedulers like airflow, TWS etc.

• Strong problem-solving skills and the ability to work in an agile environment. Educational Background

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

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