AWS Data Engineer

2 days ago

Pune, Maharashtra, India VOIS Full time
About VOIS:
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK.
Over 29,000 highly skilled individuals are dedicated to being Vodafone Group's partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more.
Established in 2006, _VOIS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone.

VOIS Centre Intro
About _VOIS India:
In 2009, _VOIS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, _VOIS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more.

Job Location:

EON IT Park, Kharadi, Pune (Hybrid)
Role:

Cloud Data Engineer
Skills:

AWS, Airflow, Spark, Python, Database
Experience:

7 to 10 Years

Role purpose:
The Cloud Data Engineer delivers through self and others to:
1. Load the data from local and group sources onto the shared platforms that are necessary for
insight, analysis and for commercial actions.
2. Building applications that make use of large volumes of data and generate outputs that allow
commercial actions that generate incremental value
3. Support local markets and group functions in obtaining business value from the data

Key accountabilities and decision ownership:
1. Design and develop highly performant, scalable and stable Big Data cloud native applications
2. Source data from a variety of different sources, in the correct format, meeting data quality
standards and assuring timeous access to data and analytical insights
3. Build batch and real-time data pipelines, using automated testing and deployment
4. Build transformations to produced enriched data insights
5. Integrate applications with business systems to enable value from analytic models and enable
decision making
6. Define and implement best practices relating to cloud economics, software engineering and
data engineering to ensure a well-architected cloud framework with data management
practices built into each design.
7. Work with the architecture team to evolve the Big Data capabilities (reusable assets/patterns)
and components to support the business requirements/objectives
8. Research, investigate and evaluate new technologies and methods to improve delivery and
sustainability of data applications and services
9. Make contributions to the process of defining best practice for the agile development of
applications to run on the Big Data Platform

Core competencies, knowledge and experience:
1. Experience managing the development lifecycle for agile software development projects
2. Expert level experience in designing, building and managing data pipelines for batch and
streaming applications
3. Experience with performance tuning for batch-based applications like Hadoop, including
working knowledge using Nifi, Yarn, Hive, Airflow and Spark
4. Experience with performance tuning streaming-based applications for real-time data
processing using Kafka, Confluent Kafka, AWS Kinesis, GCP pub/sub or similar
5. Experience working with serverless services such as Openshift, GCP or AWS
6. Working experience with AWS would be a prerequisite
7. Working experience with other distributed technologies such as CassandraDB, DynamoDB,
MongoDB, Elastic Search and Flink would be desirable
8. Java and Python programming ability would be an advantage
9. Experience in metadata management, data modelling and schema management would be an
added benefit

Must have technical / professional qualifications:
1. 3-year IT or IS degree or diploma or related field is essential
2. Relevant cloud certification at professional level or above in AWS
3. 5+ years BI or related software development experience
4. Agile exposure, Kanban or Scrum

Key performance indicators:
1. Speed of on boarding of new data sources
2. Data availability, completeness and accuracy
3. Maximize effective usage of system resources to balance compute resources, network usage
and costs objectives

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