Y-Axis Jobs Logo
Send us feedback
telephone  +91 7670 800 001
Log in Sign up Try Premium
DATA ENGINEER at Vodafone United States
Pune, maharashtra, India -
Full Time

Start Date

Immediate

Expiry Date

16 Apr, 26

Salary

0.0

Posted On

16 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

SQL, Python, Data Modelling, ETL, ELT, Data Warehousing, Cloud Platforms, BigQuery, Dataflow, Dataproc, Apache Beam, Spark, CI/CD, Data Validation, Data Cleansing, Performance Optimisation

Industry

Telecommunications

Description
Develop and maintain ETL/ELT pipelines for data ingestion and transformation. Design and manage data warehouses, lakes, and distributed systems (e.g., BigQuery, Dataplex). Conduct data discovery and source system analysis to ensure data is fit for purpose. Implement data validation, cleansing, and transformation processes. Collaborate with stakeholders (BI, CVM, Marketing, Sales, Tech) to gather requirements and deliver solutions. Optimise data workflows for performance and cost efficiency. Support deployment of machine learning models into production environments. Ensure data security and governance compliance. Performance optimisation for large-scale data workflows. Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or related field. 3-4 years of experience in data engineering or related roles. Strong proficiency in SQL, Python, and data modelling. Experience with cloud platforms (GCP, AWS, Azure) and tools like Cloud Composer, Dataflow, Dataproc. Familiarity with distributed computing frameworks (e.g., Apache Beam, Spark). Knowledge of CI/CD tools (Jenkins, Git, Jira, Confluence). Understanding of data warehousing concepts and performance tuning. GCP certification or similar is a plus. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
Develop and maintain ETL/ELT pipelines for data ingestion and transformation. Collaborate with stakeholders to gather requirements and deliver solutions.