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Senior Data Engineer

GlobalLogic Sweden AB · Göteborg

posted 8d ago, last live 2d ago

Key factors at a glance

Seniority
Senior
Experience
5+ years
Work mode
—
Salary
Not stated
Required working language
English

Must-haves

  • 5+ years data engineering experience
  • Big data technologies (Spark, Flink, Kafka, data lakes)
  • Data warehousing and ETL processes
  • AWS (Redshift, EMR, S3) and Azure (Data Factory, Power BI) experience
  • SQL or Python programming
  • Databricks and/or Snowflake
  • Power BI for analytics and visualization
  • Fluent English

Nice-to-haves

  • Infrastructure as Code (IaC) for data platform management
  • Automotive industry connectivity data experience
  • Chinese language skills
  • DevOps and CI/CD knowledge
  • Data quality monitoring and implementation
PythonSQLApache SparkAWSAzureTerraformCI/CDApache Kafka

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Company hiring signal

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Original posting

English

At least 5 years continuous experience in data engineering area. • E. B.Sc. or M.Sc. in Computer Science, Engineering, Information Technology or equivalent work experience. • Strong knowledge and hands on experience of big data technologies such as data lakes, Apache Spark, Flink, Kafka etc. • Good knowledge of data warehousing concepts and ETL processes, DevOps, CI/CD and software testing. • Expertise with one of programming languages such as SQL, or Python. • Have working experience of AWS (Redshift, EMR, S3) and Azure (Data Factory, Power BI service) data analytics services. • Experience with Data platform tools like Databricks and/or Snowflake. • Be able to use Power BI for data analytics and visualization. • Be able to manage data platform with IaC (Infrastructure as Code) will be preferred. • Experience with connectivity data in automotive industry will be preferred. • Fluent in English with Chinese skill as a plus Responsibilities and Deliveries • Design, develop and maintain scalable batch and stream data pipelines to ingest data into platform from various sources, use tools to automate and orchestrate data pipelines • Develop and implement data processing workflows of cleansing, deduplication, and transformation processes to prepare data for data services • Operate and maintain platform with infrastructure team. • Perform data platform upgrade test including regression test, security test, functional test. • Implement checks and measures to ensure the security, accuracy, completeness, and consistency of data • Set up tools to monitor pipeline performance, data quality, and system health • Diagnose and resolve issues with data pipelines, storage systems, or integrations • Collaborate with stakeholders to define data models and ensure the data meets their needs • Provide technical guidance and data access support to data consumers and addressing technical challenges. • Document data pipelines, architectures, and workflows to ensure clarity and ease of maintenance • Design and maintain data models for reporting and analytics in BI tools • Develop simple dashboard with Power BI Pragmatic, self-driven, and solution-oriented • Comfortable working in ambiguous and evolving environments • Curious, flexible, and eager to learn new technologies • Proactive, self-starting, and able to manage multiple tasks effectively • Strong sense of ownership and accountability • Team-oriented with a collaborative mindset Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Shown in its original English. To apply, continue to the company's own page.