Cloud Data Platform Expert - Azure/Databricks

Elca Informatique Sa
Bern, Switzerland
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Experience level
Senior

Job location

Bern, Switzerland

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Batch Processing
Big Data
Cloud Computing
Code Review
Computer Programming
Data Governance
ETL
Data Mining
Data Warehousing
Distributed Data Store
Hadoop
Python
NoSQL
Cloud Services
Software Construction
Software Engineering
SQL Databases
SQL Server Integration Services
Data Streaming
Talend
Cloud Platform System
Data Ingestion
Spark
Data Lake
Kubernetes
Data Analytics
Kafka
Free and Open-Source Software
Build Process
Software Coding
Terraform
Software Version Control
Databricks

Job description

Our business line «Data, Analytics & AI» is responsible for providing and utilizing technology platforms that promote the value creation of our customers. The numerous exclusive projects differ in scope, industries, and companies., We are looking for a motivated Cloud Data Platform Expert/Architect with experience in implementing complex distributed data platforms and applications to process heterogeneous and large data volumes. Ideally, a person with experience in analytics technologies such as Spark, MPP, and NoSQL databases, who is also well acquainted with cloud infrastructure (Azure, Fabric and/or Databricks)., As a Cloud Data Platform Expert/Architect, you work in multiple teams including data engineers, business analysts, and data scientists to build and operate state-of-the-art data analytics platforms. The role requires technical skills in analytics ecosystems with a focus on cloud infrastructure and open-source software.

  • You participate in several cloud data platform projects and act as a central contact point for our customers
  • You support the acquisition of new customer projects by preparing offers and discussing them with the customer
  • You are co-responsible for the design, code, and configuration of components that manage data ingestion, real-time streaming, batch processing, data extraction, and transformation across multiple data sources and applications
  • You interact with engineering teams across projects and ensure that your solutions meet customer requirements regarding functionality, performance, availability, scalability, security, and reliability
  • You evaluate analytics architectures and environments and make improvement suggestions
  • You coach in innovative technologies and act as a mentor to our team members

Our offer

  • Opportunity to expand your expertise through diverse projects and unique products, latest technologies, and customers from various industries
  • Attractive prospects through continuous training, coaching, and an internal career path
  • Our culture makes the difference! We actively live flat hierarchies and open, helpful collaboration across all disciplines and departments
  • We organize regular events such as brown bag lunches and coding events as well as cozy and sporty offsite gatherings
  • Good work-life balance (flexitime, home office), modern and flexible workplace in a multicultural environment
  • Top benefits such as: purchase of up to 13 vacation days, contribution to private mobile phone or business phone, half-fare travelcard, business travel in 1st class, flexible pension fund models, coverage of daily sickness and accident insurance (private, worldwide), and much more

Requirements

  • University degree ETH/UNI/FH
  • Over 8 years of experience in delivering and automating cloud solutions using one or more technologies such as Azure, AWS, Databricks, Kubernetes, or Terraform
  • Over 5 years of implementation skills with analytics technologies such as SQL, Spark, Kafka, Hadoop, or Delta Lake, and programming experience in Python or Java/Scala
  • Experience with various ETL tools such as Talend or SSIS, data modeling and data governance, as well as data warehouse & data mesh knowledge complete the profile
  • High-quality certifications with Databricks and/or Azure Analytics
  • Knowledge of software engineering best practices throughout the entire development cycle, including coding standards, code reviews, source code management, build processes, testing, and operations
  • Several years of consulting experience is an advantage
  • Fluent in German and English

Display original ad

Apply for this position