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Assistant Manager_Python Data Engineer (GCP)_Pune at Vodafone United States
Pune, maharashtra, India -
Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, GCP, Data Engineering, Data Quality, Data Security, Data Governance, Data Pipeline Development, Data Warehousing, Data Modelling, Agile Methodologies, Git, CI/CD, Analytical Skills, Problem-Solving, Collaboration, Cloud Dataflow

Industry

Telecommunications

Description
A data engineering professional with at least 4 years of experience in Python and GCP technologies. A collaborative team player who thrives in cross-functional environments. A detail-oriented individual with a strong commitment to data quality, security, and governance. A continuous learner who stays updated with the latest advancements in cloud and data engineering. 3+ years of hands-on experience in Python development and data engineering on GCP. Proficiency in Python 3.x and libraries such as Pandas, NumPy, and Matplotlib. Strong knowledge of GCP services including Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, BigQuery, and Cloud SQL. Experience in data pipeline development, data warehousing, and data governance. Solid understanding of data modelling, architecture, and engineering principles. Familiarity with agile methodologies, Git version control, and CI/CD pipelines. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Design, develop, and deploy scalable data pipelines using Python and GCP services such as Cloud Run, Cloud Pub/Sub, and Cloud Storage. Build and manage data warehouses using BigQuery, Cloud SQL, and other GCP tools. Implement data validation, cleansing, and encryption techniques to ensure data quality and security. Collaborate with data scientists and analysts to support data modelling, visualisation, and machine learning initiatives. Establish and maintain data governance policies and standards. Troubleshoot and resolve issues in data pipelines, conducting root cause analysis as needed.

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Responsibilities
Design, develop, and deploy scalable data pipelines using Python and GCP services. Collaborate with data scientists and analysts to support data modelling, visualisation, and machine learning initiatives.