Lediga jobb som Data Warehouse specialist i Sollentuna

What You Will Do:-
Build large-scale batch and real-time data pipelines with data processing frameworks like PySpark, Spark+Scala on Azure and AWS platform.
Collaborate with other software engineers, ML engineers and stakeholders, taking learning and leadership opportunities that will arise every single day.
Use best practices in continuous integration and delivery.
Sharing technical knowledge with other members of the Data Engineering Team.
Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
You will get to work with massive data sets and learn to apply the latest big data technologies on a leading-edge platform.
Required Technical and Professional Expertise:
Professional programming experience and hands-on experience in building modern data platforms/pipelines.
Programming languages: Scala, Java, Python is a plus
Frameworks: Spark, Hadoop, Hive, Kafka
Databases: Azure Synapse, No, Strong in Relational databases
Data pipelining: AZURE Data factory, ELT
Scheduling: Airflow
Cloud: Azure Stack, Azure DevOps, Azure Databricks
Experience Kubernetes, Docker, and Virtualization
DevOps: experience in Agile, CI/CD
Previous experience gained in mid-size/large, international companies.
Microsoft certified Data Engineer Associate is mandatory.
Databricks Associate certification is plus. Visa mindre

What You Will Do:-
Build large-scale batch and real-time data pipelines with data processing frameworks like spark, Scala on Azure platform.
Collaborate with other software engineers, ML engineers and stakeholders, taking learning and leadership opportunities that will arise every single day.
Use best practices in continuous integration and delivery.
Sharing technical knowledge with other members of the Data Engineering Team.
Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
You will get to work with massive data sets and learn to apply the latest big data technologies on a leading-edge platform.
Required Technical and Professional Expertise:
Professional programming experience and hands-on experience in building modern data platforms/pipelines.
Programming languages: Scala, Java, Python is a plus
Frameworks: Spark, Hadoop, Hive, Kafka
Databases: Azure Synapse, No, Strong in Relational databases
Data pipelining: AZURE Data factory, ELT
Scheduling: Airflow
Cloud: Azure Stack, Azure DevOps, Azure Databricks
Experience Kubernetes, Docker, and Virtualization
DevOps: experience in Agile, CI/CD
Previous experience gained in mid-size/large, international companies.
Databricks professional certification is mandatory. Visa mindre

We are looking for a data warehouse developer who provides technical services related to IT analysis, design, build, testing and integration of all components of the Data Warehouse solution in conjunction with other project team members on a specific client engagement. This person shall also play a role within the project teams, managing communications with delivery managers and clients as well as a technical lead during development.
Areas of Responsibility
Data Profiling, ETL Process, Data Model understanding, BI Solution Development, report maintenance, troubleshooting, performance tuning, etc.
Interface with customers, project teams, and technical support staff as needed to resolve complex technical issues
Provide technical expertise to data warehouse clients that will contribute to innovative business solutions.
Effectively analyze, resolve and document business problems with minimal oversight from senior management (i.e. accountable for owning and resolving issues)
Effectively multi-task between initiatives and consistently produce quality deliverables requiring minimal support from peers/supervisors.

Education
Bachelor’s Degree from a reputed Educational Institute in computer science or related field.

Skills & Experience
Excellent Consulting, Oral and Written communication and Presentation skills
Strong and Database experience with a major RDBMS (for example Teradata, Server, DB/2, Oracle)
Excellent Troubleshooting skills
5+ years of overall experience related to Data Warehousing with Customer facing project experience
Experience with Logical and Physical Data Modelling, Database Architecture
Experience with Data Warehousing and ETL Methodologies

Öppen för alla
Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov. Visa mindre