Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
About the role
- IT Technical Engineer accountable for software development at Nokia, improving application performance and adapting digital technologies. Supporting business and IT projects with technical expertise.
Responsibilities
- Develop ETL/ELT workflows for both batch and streaming data, supporting structured and unstructured data sources.
- Implement and support Lakehouse and Medallion architecture (Bronze/Silver/Gold) using Azure Data Lake Storage and Delta Lake.
- Optimize Spark jobs through effective partitioning, caching, cluster tuning, and cost-efficient resource utilization.
- Integrate Databricks with key Azure services, including Data Factory, Synapse, Key Vault.
- Implement strong data governance practices using Unity Catalog, encryption, lineage, and data quality checks.
- Monitor, troubleshoot, and improve the performance of data pipelines, clusters, and job executions.
- Collaborate with business analysts, architects, and business stakeholders to develop end-to-end analytics solutions.
- Support CI/CD automation, Git branching strategies, and DevOps best practices.
- Support change management activities, and follow coding standards.
Requirements
- 3–5+ years of hands-on experience in Azure Databricks, Spark, PySpark, SQL, and data engineering with Strong experience implementing Delta Lake, Unity Catalog, Lakehouse architecture, and Databricks Jobs/Pipelines.
- Proficiency with Azure services such as Data Lake Storage, Data Factory, Integrated runtimes, and Key Vault.
- Strong understanding of ETL/ELT design, data modeling, medallion architecture, and large-scale data processing.
- Experience with performance tuning, cluster optimization, and troubleshooting distributed systems and Hands-on experience with Power BI.
- Experience with CI/CD pipelines, Azure DevOps, Git version control.
- Exposure to Unity Catalog advanced features, Row-Level Security, and data governance frameworks (Nice-To-Have).
- Knowledge of monitoring and observability tools, data quality frameworks, or automation solutions (Nice-To-Have).
- Azure certifications such as DP-203 or Databricks Data Engineer Associate/Professional (Nice-To-Have).
- Experience integrating Databricks with external systems via APIs, connectors, and streaming services (Nice-To-Have).
Benefits
- Flexible and hybrid working schemes
- A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
- Life insurance to all employees to provide peace of mind and financial security
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
Job title
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Not specified
Degree requirement
Tech skills
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