Data Engineer

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.

Data Engineer

Purpose of Job Role

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. The data engineer will also have responsibility for all data ingress into data lake/DWH, maintain the correct content, format and integrities all through the lifetime of such data.

Typical Interfaces

• Business solution owner, process owners and solution users
• Information stewards, domain experts, subject matter experts
• Business Analysts, Data Scientists, Data Architects, Automation Architects, Automation Engineers
• Project Steering Group, Operative Steering Group (OSG), Project Management Office (PMO)
• Enterprise/Regional IT representatives
• Partners and vendors

Tools & Resources

• Acumen for business flow understanding and expertise in data preparation and pre-processing
• SQL knowledge and experience working with relational databases, query authorising (SQL) as well as a variety of other databases/date-sources.
• Big data tools like Hadoop, Spark, Kafka, etc.
• Data and Model pipeline and workflow management tools like Azkaban, Luigi, Airflow, Dataiku, etc.
• Stream-processing systems like Storm, Spark-Streaming, etc.
• Object-oriented/object function scripting languages like Python, Java, C++, Scala, etc.
• SQL, Python/Java, GCP Big Query (Understanding of Cloud Env), Apache Kafka, Cassandra,Postgres, Hadoop, Airflow
• Hands on experience on Kubernetes

Responsibilities:

Manage data solution roadmap

Translate business requirements to data solution features and create solution roadmap options proposals.

Convert data solution roadmap to backlog items, sprint plans and release plans.

Participate in backlog prioritization discussions.

Perform risk analysis and create mitigation plans.

Create and communicate status and progress reports.

Create resource plans for realizing solution roadmap and manage resource skills by selection process and/or trainings.

Design & lead data solution development

Manage compliance with analytics reference architecture by creating complaint designs and/or transition plans.

Write test plans and descriptions for component testing. Support system test specification.

Participate in Design review, and document approval or exemptions from design guidelines.

Provide feedback on Reference architecture and target architecture to Data Architecture and IT teams.

Ensure compliance of data solutions within Data Architecture guidelines

Develop and test data solution components

Create detailed data solution design.

Write technical specifications

Create solution interface or Integration specifications.

Provide guidance on suitable options, designing, and creating data pipeline for the analytical solution’s data lake / data warehouses to specific micro services

Develop and enhance Solution components: database, schemas, data dictionary, scripts, reports, graphic user interfaces, system roles.

Perform configuration and/or code walkthroughs, peer reviews, track, and fix defects.

Perform unit testing of data solution components. ensure that solution component meet acceptance criteria.

Support and participate in acceptance procedures and tests.

Data solution verification after deployment.

Data solution maintenance & support

Perform operational tasks like – data loading, batch job scheduling and monitoring.

Analyze incidents to identify corrections needed and improvement opportunities.

Monitor and ensure solution data quality and perform corrective actions and create improvement plans.

Support deployment and integration of software into the target environment

CSR handling, problem solving user reported issues.

Manage Data quality

Support in defining data quality monitoring checks

Implement proactive data quality monitoring

Execute data quality remediation plans

Do you believe that an organization fostering an environment of cooperation and collaboration to execute with speed creates better business value? Do you value a culture of humanness, where fact based decisions are important and our people are encouraged to speak up? Do you believe that diverse, inclusive teams drive performance and innovation? At Ericsson, we do.

We provide equal employment opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity and/or expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, Indigenous status, disability, age, union membership or employee representation and any other characteristic protected by local law or Ericsson’s Code of Business Ethics.