Senior Data Engineer

hace 4 semanas

Aldeatejada Castilla y León Spain companies A tiempo completo

Are you a data expert with a passion for building scalable data solutions? As a Senior Data Engineer at Stefanini, you will design, develop, and optimize modern data architectures, enabling advanced analytics and business intelligence capabilities. You'll work with cutting-edge technologies, including Databricks, Microsoft Fabric, Azure Synapse, and Azure Data Factory, while collaborating with cross-functional teams to deliver high-performance data solutions that drive business success.

Key Responsibilities

  1. Data Architecture & Engineering: Design, build, and maintain robust data pipelines and architectures using Databricks, Microsoft Fabric, Azure Synapse, and Azure Data Factory.
  2. Data Integration & ETL: Develop scalable ETL / ELT processes to extract, transform, and load data from various sources into cloud-based data platforms.
  3. Performance Optimization: Optimize data models, queries, and storage strategies for high-performance analytics and reporting.
  4. Big Data Processing: Work with large-scale datasets and distributed computing frameworks to support advanced analytics, machine learning, and business intelligence.
  5. Cloud Data Solutions: Design and implement data solutions leveraging cloud services, ensuring security, scalability, and cost-efficiency.
  6. Collaboration & Stakeholder Engagement: Partner with business analysts, data scientists, and BI teams to understand data needs and deliver efficient, scalable solutions.
  7. Data Governance & Security: Implement best practices for data governance, quality, lineage, and compliance with industry standards.
  8. Automation & CI / CD: Utilize DevOps principles to automate data workflows, testing, and deployment using CI / CD pipelines.
  9. Documentation & Maintenance: Maintain clear documentation of data pipelines, architecture, and processes for transparency and knowledge sharing.

Required Skills & Experience

  1. Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
  2. Experience: 5+ years of hands-on experience in data engineering, working with large-scale data processing and analytics.
  3. Technical Proficiency: Expertise in Databricks, Microsoft Fabric, Azure Synapse, and Azure Data Factory for data engineering and analytics workloads. Strong skills in SQL for data modeling, querying, and performance tuning. Experience with Python or Scala for data processing and automation. Proficiency in ETL / ELT pipeline development and data integration across cloud platforms. Strong knowledge of data modeling, warehousing, and optimization techniques.
  4. Cloud Expertise: Proven experience with Azure cloud services and modern data architectures.
  5. Data Governance & Security: Understanding of best practices in data governance, security, compliance, and lineage tracking.

Nice to have:

  1. Big Data & Distributed Computing: Familiarity with Spark, Delta Lake, and Parquet for large-scale data processing.
  2. DevOps & Automation: Experience in CI / CD for data engineering, using tools like Terraform, Git, and Azure DevOps.
  3. Additional Tools: Knowledge of SAP BI, SAP Business Warehouse, and integration with cloud-based data platforms is a plus.
  4. Machine Learning & AI: Experience supporting machine learning workflows and feature engineering pipelines.
  5. Streaming Data & IoT: Familiarity with Kafka, Event Hubs, or real-time data processing is advantageous.
  6. API & Integration: Experience with REST APIs, GraphQL, and data API development is a plus.

Why Join Us?

  1. Work with cutting-edge data technologies to shape modern data solutions.
  2. Collaborate with a team of data-driven professionals on impactful projects.
  3. Gain exposure to AI, machine learning, and advanced analytics use cases.
  4. Enjoy a flexible, innovative, and growth-oriented work environment.
  5. Competitive salary, benefits, and continuous learning opportunities.

Diversity & Inclusion

Here at the Stefanini Group, we value plurality and equity, regardless of race, sexual orientation, disability, age, ancestry, religion, gender, and nationality. We understand and encourage the importance of being you

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