Lead Data Engineer Job Vacancy in Ericsson Bengaluru, Karnataka – Updated today

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Full Details :
Company Name : Ericsson
Location : Bengaluru, Karnataka
Position :

Job Description : About this opportunity
At Ericsson, you can be a game-changer! Because working here isn’t just a deal. It’s a big deal. This means that you get to demonstrate our 140+ years of experience and the expertise of more than 95,000 varied colleagues worldwide. As part of the team, you will help solve some of society´s most complicated challenges, enabling you to be ‘the person that did that.’ We’ve never had a greater opportunity to inspire change; setting the bar for technology to be inclusive and accessible; empowering a resourceful , sustainable, and connected world.
As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you’re welcomed as your own perfectly unique self and celebrated for the skills, talent, and perspective you bring to the team. Are you in?
Come, and be where it begins.
Are you in?
Our Exciting Opportunity
Group Data and Analytics is a function to craft and implement our Analytics and AI strategy, vision and to ensure multi-functional execution for Ericsson to transform into a resourceful enterprise. AI and Data is key theme to becoming data-driven. We continue to build up best-in-class competence in this area to increase performance, deliver intelligence, and to provide secure and scalable development, deployment, and continued operations of Analytics and AI solutions including Data Services.
The data and analytics engineer is responsible for implementing the end-to-end data transformations from ingestion, to consumption, ensuring a governed, and structured use-cases consumption area. There should be a solid focus on data quality and code quality, enhancing functional and non-functional requirements, and ensuring scalable and performant processes while demonstrating PaaS and IaaS components. Design and maintain the data assets to meet the customer’s needs.
The Data Engineer will collaborate closely with other roles like Data Architects, Solution architects, Scrum Master, Agile Coach, Data Engineers, Data Analysts, Developers, Product Managers , Users, and Key partners
What we believe in!
We believe in trust– we trust each other to do the right things. Therefore, we believe in taking decisions as close to the product and technical expertise as possible!
We believe in creativity – trying new things and learning from our mistakes. We believe in sharing our insights and helping one another to build an even better user plane.
We truly believe in happiness, we enjoy and feel passionate about what we do and value each other’s technical competence deeply
What you will do
Develop in a structured, performant manner, data requirements and activities requested by use cases, enhancing data quality and demonstrating the solution architecture
Connect securely to data sources, understand its limitations and data assets, and ingest data from it to our main storage components
Store and maintain metadata, enhancing visibility and the execution of idempotent routines
Understand and implement data architecture design
Give feedback and validate feasibility of data architecture design
Develop applications and components using design patterns and standard methodologies, ensuring an extensible and maintainable codebase
Ensure a high code quality, enhancing secure and bug-free features to use-cases and clients
Use Azure/AWS and cloud-native components for optimal execution of the data processing activities
Collaborate closely with use cases to gather and develop feature requirements and the availability of data assets
Ensure SLA’s in case of failure and assist quickly with hotfix and bugfix development as part of agile WoW
Assist use-cases on exploration and machine learning capabilities through workshops and knowledge-sharing sessions
Report to Head of Data & Analytics Engineer Chapter or Data & Analytics Engineer Chapter Node Lead
You will bring
To be successful in this role, you must have:
Hands-on development experience in Data Product / Data Warehouse Solutions
Data Ingestion, Data Management, Data Architecture, Data Modelling, and Design skills and experience
General IT System and Process knowledge
Demonstrable ability to lead and develop data and/or analytics solutions
Business understanding and data requirements analysis
Delivering results and meeting customer expectations
Knowledge-sharing and Collaboration Skills
Presenting & Communicating Information
Understands business value and committed to enable value delivery through data
Intrapersonal skills and ability to empower and mentor team members
You should have the experience working
In Data Warehouse and Business Intelligence Solutions
as a Data / Analytic Engineer in DW / BI and BigData space
in the Delivery of Analytics solutions ( Agile WoW is preferred)
in Cloud ( AWS /Azure ) / SAP HANA / DW Tools.
You should have the passion to
develop products/frameworks in Data / ML / AI space.
Own the topic development pertaining to standard methodology
research and read on what is happening in the industry (Azure/AWS/ GCP/Data /Analytics etc) to apply those in Data and Analytics products.
contribute towards Data and Analytics Engineering community
be innovative in your approach to suggest the best for business
Key Qualifications:
Education: Batchelor of Engineer / Masters in Computer Science or equivalent.
Minimum years of relevant experience: 7+ years in IT, Data Warehouse / BI / Data Product Development / Analytics / Solution development on Cloud platform.
Analytical background and familiarity with evolving technology landscape such as Cloud/ Snowflake / BigData / Containerization /BI Reporting Tools /SAP HANA is an added advantage
Solid understanding of data quality measures
Experience with Azure Data Factory, Azure Data Lake, Databricks, Apache Airflow, Spark, Python, Bigdata, Snowflake
Last 3+ years experience in Spark, Python , Databricks, Azure , AWS , Snowflake development
Experience in data modelling ( Data vault is a plus )
Knowledge in cloud-native architectures and standard methodologies
Experience with Azure / AWS PaaS and IaaS offerings
Experience working for Machine Learning Solutions is a plus
Learning and Delivering
Exposure to a good number of technologies listed here if not all ( Microsoft Azure, Synapse , AWS, Kubernetes, Dockers, Python, Databricks , Spark, Hive, Kafka, Informatica, Talend, Tableau, Power BI, , Oracle, MS-SQL Server, Mongo DB, Teradata, PostgreSQL, Data Virtualization tool Denodo and Microservices architecture, R, Reinforcement Learning, ML Regression algorithms, ML Classification algorithms, ML Clustering Algorithms, Deep learning CNN Algorithms,)
Why Join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What Happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
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, learn more. We are committed to providing reasonable accommodations to all individuals participating in the application and interview process. If you need assistance or to request an accommodation due to a disability please reach out to interviewsupport@ericsson.com

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