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 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
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
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
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.
Key Qualifications :
Education : Batchelor of Engineer / Masters in Computer Science or equivalent.
Minimum years of relevant experience : 5+ 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
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
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
Be where it begins
Welcome to an inclusive, global company where your opportunity to make an impact is endless. Share your most innovative ideas, bring your unique perspective and bring your unique perspective in a speak up environment.
With us, you will no longer be dreaming of what the future holds you can be the one who makes it possible.
Learning and Development
Being a part of our team means having the flexibility to take your career in many different directions, but it also means leveraging the supportive structure of a big organization, with clear personal and professional development opportunities.
Benefits and Rewards
We believe that great accomplishments deserve great benefits and transparent rewards. We strive to offer competitive, unbiased, and fair rewards for all our people.
We empower you to manage your own time and promote flexible working opportunities, along with family-friendly policies.
Click here to find out more about our benefits.
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