Lingaro Group | Careers

Azure Data Engineer with MS Fabric

Written by it | Jan 24, 2025 2:38:06 PM
Tasks:
  • Designing and implementing data processing systems using Microsoft Fabric, Azure Data Analytics, Databricks and other distributed frameworks (ex. Hadoop, Spark, Snowflake, Airflow).

  • Writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data.

  • Building data pipelines to ingest data from various sources (databases, APIs or streaming platforms).

  • Integrating and transforming data to ensure its compatibility with the target data model or format.

  • Designing and implementing data models that support efficient data storage, retrieval, and analysis.

  • Utilizing frameworks like Spark to perform distributed computing tasks, such as parallel processing, distributed data processing, or machine learning algorithms.

  • Establishing data governance practices to maintain data integrity, quality, and consistency.

  • Identifying and resolving issues related to data processing, storage or infrastructure.

  • Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.

  • Train and mentor Junior Data Engineers, providing guidance and knowledge transfer.

Requirements:
  • Commercial experience working as a Data Engineer (4+ years of experience).

  • Proficiency in MS Fabric, Azure Data Factory.

  • Strong programming skills in Azure Databricks or Python, PySpark or Scala and Spark SQL/TSQL for data transformations.

  • Extensive knowledge of MS Fabric components:

    • Lakehouse, OneLake, Data Pipelines, Real-Time Analytics, Data warehouse, Power BI Integration, Semantic Models, Spark Jobs, Notebooks and Realtime Analytics, Dataflow Gen1 and Gen2, KQL.

  • Integrate Fabric capabilities for seamless data flow, governance, and collaboration across teams.

  • Strong understanding of Delta Lake, Parquet, and distributed data systems.

  • Strong experience in implementation and management of Lakehouse using Databricks and Azure Tech stack (ADLS Gen2, ADF, Azure SQL).

  • Proficiency in data integration techniques, ETL processes and data pipeline architectures.

  • Solid understanding of data processing techniques such as batch processing, real-time streaming and data integration.

  • Proficiency in working with relational and non-relational databases - MSSQL, MySQL, PostgreSQL or Cassandra.

  • Proficient in data modeling techniques and database optimization - query optimization, indexing, and performance tuning.

  • Understanding of data security best practices and experience implementing data governance policies.

  • Strong problem-solving abilities to identify and resolve issues related to data processing, storage, or infrastructure.

  • Analytical mindset to analyze and interpret complex datasets for meaningful insights.

  • Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders.

  • Ability to convey technical concepts to non-technical stakeholders in a clear and concise manner.

Nice to have:

  • A bachelor's or master's degree in Computer Science, Information Systems, or a related field.

  • Excellent knowledge on Source control / Version Control along with CI/CD.

  • Knowledge of data warehousing concepts and technologies like Redshift, Snowflake, or BigQuery.

  • Familiarity with data privacy regulations and compliance standards.

  • Experience in designing and creating integration and unit test.

  • Certifications:

    • DP-600 (Fabric Analytics Engineer Associate) certification

    • DP-700 (Microsoft Certified: Fabric Data Engineer Associate)

    • DP-203 (Azure Data Engineer Associate) certification

    • Databricks Associate/ Spark Developer Associate certification

We offer:
  • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.

  • “Office as an option” model. You can choose to work remotely or in the office, depending on your location.  

  • Flexibility regarding working hours and your preferred form of contract.  

  • Comprehensive online onboarding program with a “Buddy” from day 1.   

  • Cooperation with top-tier engineers and experts.  

  • Unlimited access to the Udemy learning platform from day 1.

  • Certificate training programs. Lingarians earn 500+ technology certificates yearly. 

  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

  • Internal Gallup Certified Strengths Coach to support your growth.

  • Grow as we grow as a company. 76% of our managers are internal promotions.  

  • A diverse, inclusive, and values-driven community.   

  • Autonomy to choose the way you work. We trust your ideas.  

  • Create our community together. Refer your friends to receive bonuses.  

  • Activities to support your well-being and health.

  • Plenty of opportunities to donate to charities and support the environment.  

  • Modern office equipment. Purchased for you or available to borrow, depending on your location.