Deputy Manager-Data Engineer, Big Data and Machine Learning Pipelines
Vodafone Group (company site, opens in a new tab)5–7 yrsPuneOn-siteDirect career pageEst. 16–24 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, automate, and optimize end-to-end data science and big data pipelines for analytics platforms.
- Develop and deploy scalable data solutions including Customer 360 and machine learning feature stores across large, complex datasets.
- Collaborate with business stakeholders and technical teams to translate business challenges into data models and oversee performance monitoring of machine learning algorithms.
Minimum Requirements
- 5 to 7 years of experience working with large datasets and distributed computing tools, including Apache Spark.
- Experience with big data technologies such as Apache Airflow, Kafka, Sqoop, Flume, or NiFi, and familiarity with distributed storage platforms like AWS, GCP, or HDFS.
- Programming skills in Scala, Python, Java, or R and experience with NoSQL databases such as Cassandra, MongoDB, HBase, or Redis.
- Work Experience Required: 5 to 7 years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building and optimizing machine learning pipelines and real-time analytics solutions in cloud or large distributed environments.
- Capable of leading technical discussions on data architecture and providing guidance on metadata and data model management.
- Skilled in interdisciplinary collaboration with data scientists, database teams, technologists, and business stakeholders to deliver end-to-end analytics solutions.