Data Engineer

Data Engineer

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 organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone.

VOIS India

In 2009, VOIS started operating in India and now has established global delivery centers 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.

Mode: Hybrid

Location: Pune

Experience: 5 to 9 years

Core competencies, knowledge and experience:

• 5-7 years' experience in managing large data sets, simulation/ optimization and distributed computing tools.

• Excellent communication & presentation skills with track record of engaging with business project leads.

Must have technical / professional qualifications:

• Experience working with large data sets, simulation/ optimization and distributed computing tools

• Experience in transformation data with Apache spark for Data Science activities

• Experience in working with distributed storage on cloud (AWS/GCP) or HDFS

• Experience in building data pipelines with Airflow

• Experience in ingesting data from different sources using Kafka/Sqoop/Flume/ Nifi

• Experience in solving simple to complex big data platform/framework issues

• Experience in building real time analytics system with Apache Spark, Flink & Kafka

• Experience in Scala, Python, Java & R

• Experience in working with NoSQL databases (Cassandra, Mongo DB, HBase, Redis)

Role purpose:

• Primary responsibility is to define data lifecycle, including data models and data sources for analytics platform, gathering data from business and cleaning them in order to provide ready-to-work inputs for Data Scientists

• Apply strong expertise in in automating end to end data science pipelines & big data pipelines (Collect, ingest, store , transform and optimize scale)

• The incumbent will work on the assigned projects & it's stakeholder alongside Data Scientists to understand the business challenges faced by them. The work involves working with large data sets, simulation/ optimization and distributed computing tools. The candidate works with the assigned business stakeholder(s) to agree scope, deliverables, process and expected outcomes from the products and services developed.

Key accountabilities and decision ownership:

• Understand the data science problems and design & schedule end to end pipelines

• For the given problem identify the right big data technologies to solve the problem in an optimized way

• Automate the data science pipelines, deploy ML algorithms and track the performance

• Build customer 360, feature store for different machine learning problems

• Build data model for machine learning feature store on high velocity, flexible schema databases

VOIS Equal Opportunity Employer Commitment

VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees' growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics.

As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do.

By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills

Apply now, and we'll be in touch

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