Job Description

Our Exciting Opportunity We\'re looking for a Cloud Data Engineer who will have responsibility for all data ingress into data lake/DWH, maintain the correct content, format, and integrities all through the lifetime of such data. You Will: Develop and deliver data solutions to support business needs & requirements by creating and optimizing data pipelines and data models for analytical solution\'s data lake / data warehouses towards specific micro services. Translate business requirements to data solution features and create solution roadmap options proposals. Manage compliance with analytics reference architecture by creating complaint designs and/or transition plans. Create detailed data solution design. Write technical specifications Create solution interface or Integration specifications. Produce graphical user interfaces or storyboard specifications. Perform operational tasks like - data loading, batch job scheduling and monitoring. Support in defining data quality monitoring checks To be successful in the role you are Degree in Engineering or equivalent experience. Minimum 5-15 years\' experience in Telecom. Hands-on development experience on Google Cloud Platform, on Following Cloud services: Cloud Composer, Big query, Pub sub, Data proc, Data flow, CDAP, Big table, GCS Hands-on development Experience on Airflow DAG creation. Hands-on development experience on Data migration Pipeline creation on PubSub with DataProc DataFlow. Hands-on development Experience on Cloud function creation. Hands-on development experience in shell scripting, pySpark, Scala programming language ETL jobs development using Spark and Python Python / Java / Scala programming Debugging/troubleshooting of Spark jobs Performance tuning experience for Hadoop/Spark jobs Good understanding on Datawarehouse knowledge and data modelling Hands-on development experience in Big Query and performance tuning of BQ queries, BQ Data Load Jobs Good Telecom domain knowledge Data Ingestion & ETL: Sqoop, Flume, Nifi, Stream sets, Logstash Data processing: Spark Messaging system: Kafka Scheduling and workflows: Google cloud composer Data warehousing knowledge Knowledge and implementation of Lambda/Kappa architecture Knowledge on Microservices, Docker, Kubernetes,etc., DevOps CI/CD Job Location - Gurgaon, India What\'s in it for you Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds - you will be redefining it. You won\'t develop for the status quo, but will build what replaces it. Joining us is a way to move your career in any direction you want with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless. What happens once you apply To prepare yourself for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-proces Encouraging a diverse and inclusive organization is core to our values at Ericsson, that\'s why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, .

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