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Azure Databricks Engineer - Python/Spark (3-6 yrs)

3-6 years

Azure Databricks Engineer - Python/Spark (3-6 yrs)

Stefanini

posted 9d ago

Job Role Insights

Flexible timing

Job Description

Job Description :


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 :


- Should have very clear understanding of Data Lake/Data Warehouse/Lakehouse Concepts.

- Strong background in data engineering practices, cloud platforms, big data technologies and big data processing frameworks.

- Strong hands-on experience with Databricks, 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.

- Experience in 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.

- Pay range and compensation package Shift 1pm to 10pm/3 pm to 12 am Pune Hybrid.

Job Location : Pune


- Comm Skills Good.

- Equal Opportunity Statement Include a statement on commitment to diversity and inclusivity.


Functional Areas: Other

Read full job description

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What people at Stefanini are saying

Engineer salary at Stefanini

reported by 1 employee
₹8.1 L/yr - ₹10.3 L/yr
61% more than the average Engineer Salary in India
View more details

What Stefanini employees are saying about work life

based on 252 employees
53%
73%
76%
53%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Stefanini Benefits

Health Insurance
Work From Home
Soft Skill Training
Job Training
Free Transport
Free Food +6 more
View more benefits

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