Scala Data Engineer - VOIS
Vodafone Group (company site, opens in a new tab)4–6 yrsPuneHybridDirect career pageEst. 12–22 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, optimize, and maintain scalable data pipelines using Scala, SQL, and Apache Spark for large-scale analytics.
- Develop efficient ETL/ELT processes and ensure data quality, performance, availability, and reliability across all pipelines.
- Collaborate closely with analytics, data science, and product teams to deliver clean, consumable datasets on cloud platforms (GCP and OCI).
Minimum Requirements
- 4 to 6 years of hands-on data engineering experience with big data processing technologies.
- Proficiency in Scala programming, advanced SQL, and Apache Spark for large-scale data transformations.
- Experience with GCP data services such as BigQuery, Cloud Composer, and Cloud Storage; exposure to OCI is a plus.
- Work Experience Required: 4 to 6 years in data engineering with distributed data processing and cloud platforms.
Ideal Candidate Profile
- Experienced in designing robust, scalable data architectures optimized for high-volume distributed systems.
- Skilled in multi-cloud environments, primarily GCP, with proven ability to optimize performance of big data pipelines.
- Capable of effective cross-functional collaboration with analytics, data science, and product teams to meet data quality and reliability standards.