Oracle FSGIU Python developer 4 to 6 years WFO Pune, Bangalore, chennai, Mumbai

Pune - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Exp:4 to 6 years

Location: Pune Mumbai chennai Bangalore

Shift: days shift

5 days working

Job Responsibilities

Design develop and optimize data processing pipelines using PySpark on AWS Databricks ensuring scalability and high performance.
Implement data ingestion transformation and aggregation workflows to support advanced analytics and enterprise reporting needs.
Collaborate with cross-functional teams to build cloud-native data solutions leveraging AWS services such as S3 and EC2.
Write efficient Python code for automation orchestration and integration of data workflows across environments.
Ensure data quality reliability and governance through the implementation of best practices including error handling auditing and logging.
Participate in performance tuning of PySpark jobs cloud cost optimization and continuous improvement of the data platform.

Mandatory Skills:

4 to 8 years of professional and relevant experience in software industry.
Strong hands-on expertise in PySpark for distributed data processing and transformation.
Proven experience with Python programming including implementing reusable production-grade code.
Practical knowledge of AWS Databricks for building and orchestrating large-scale data pipelines.
Demonstrated experience in processing structured and unstructured data using Spark clusters and cloud data platforms.
Ability to apply data engineering best practices including version control CI/CD for data pipelines and performance tuning.

Preferred Skills:

Working knowledge of SQL for data querying analysis and troubleshooting.
Experience using AWS S3 for object storage and EC2 for compute orchestration in cloud environments.
Understanding of cloud-native data architectures and principles of data security and governance.
Exposure to BFSI domain use cases and familiarity with handling sensitive financial data.
Familiarity with CI/CD tools and cloud-native deployment practices.
Familiarity with ETL scripting and data pipeline automation.
Knowledge of big data ecosystems and distributed computing.

Qualifications :

BE in IT or equivalent

Additional Information :

Must have skills:

4 to 8 years of professional and relevant experience in software industry.
Strong hands-on expertise in PySpark for distributed data processing and transformation.
Proven experience with Python programming including implementing reusable production-grade code.
Practical knowledge of AWS Databricks for building and orchestrating large-scale data pipelines.
Demonstrated experience in processing structured and unstructured data using Spark clusters and cloud data platforms.
Ability to apply data engineering best practices including version control CI/CD for data pipelines and performance tuning.

Remote Work :

Employment Type :

Full-time

Exp:4 to 6 yearsLocation: Pune Mumbai chennai BangaloreShift: days shift5 days working Job ResponsibilitiesDesign develop and optimize data processing pipelines using PySpark on AWS Databricks ensuring scalability and high performance.Implement data ingestion transformation and aggregation workflo...