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Professional Data Engineer

Min Experience

4 years

Location

Bangalore

JobType

Professional

About the job

Info This job is sourced from a job board

About the role

Volvo Group is looking for Azure Data Engineers! Are you interested in being involved in the biggest, data driven transformation of transport solutions in history? We are in the middle of our digitalization journey, and you are welcome to join and help us drive analytics and artificial intelligence initiatives which enable new business models. We are looking for Data Engineers 5+ years of relevant experience with possible DevOps skills to develop and optimize data pipelines and work together with Data Scientists and other experts who focus on generating business value out of data. You will work with the latest technology, in agile product teams which discover data to create innovative services. Your typical day at work will be filled with the following activities: • Build complex data pipelines in Microsoft Azure • Optimize existing data pipelines • Support in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources to Azure • Work closely with data analysts and data scientists to provide required data structures and enable new insights • Able to provision resources on Azure • Keep the data secure across the end-to-end solutions • Evaluate and improve existing data analytics solutions • Develop your competences, learn new tools and ways of working This is you: • We are looking for experienced data engineer with 4+ years of experience and relevant education background • You have good hands-on skills on Azure Data Analytics, Spark, Databricks (Cost Optimization Techniques, Cluster Optimization, Performance Tuning) • You have strong hands-on ETL skills and experience in building data pipelines using Databricks (with good knowledge of spark) and orchestrating Data workloads on Azure Data Factory • Experience in handling real-time streaming/transactional data preferably Spark-Streaming, Kafka/EventHubs/EventGrid/Stream Analytics/Service Bus etc • You have significant experience in processing data in scripting languages (Python, Pyspark, Scala) • Working with Git and following Git workflow (Branching, Managing conflicts, etc.) • Databases (like SQL server or Netezza) don't have any secret for you • You are comfortable with DevOps (or DevSecOps) and are able to provision resources in Azure • You are comfortable working in a diverse, complex, and fast-changing landscape of data sources • You communicate fluently in English. You are proactive problem solver with innovative thinking and a strong team player

About the company

Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide. Applying to this job offers you the opportunity to join Volvo Group. Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group's leading brands and entities. Group Digital & IT is the hub for digital development within Volvo Group. Imagine yourself working with cutting-edge technologies in a global team, represented in more than 30 countries. We are dedicated to leading the way of tomorrow's transport solutions, guided by a strong customer mindset and high level of curiosity, both as individuals and as a team. Here, you will thrive in your career in an environment where your voice is heard and your ideas matter.

Skills

azure
data analytics
spark
databricks
etl
data pipeline
azure data factory
streaming
kafka
python
pyspark
scala
git
sql server
netezza
devops