Azure Data Engineer with MS Fabric (Greece)

Adastra is a global IT company, offering premier class services and solutions in the area of Information Management. We work in international teams and on projects for leading global financial, automotive, telecommunications and insurance pioneers. We pride ourselves in accepting the challenge of mastering new technologies with each new task and in empowering our clients in achieving results. What gives us satisfaction is the opportunity to apply innovation in our jobs daily, inclusive of new areas such as Big Data, Artificial Intelligence, Internet of Things, Blockchain, Cloud, Data Monetization and Robotic Process Automation.

Responsibilities:

• Designing and implementing data processing systems using Microsoft Fabric, Azure Synapse, Databricks and other distributed frameworks.

• 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.

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

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

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

          Requirements:

• 2+ years of experience working with Microsoft Azure analytics tools (Azure Data Factory, Synapse, Storage Account, etc.)

• Hands-on experience working with Microsoft Fabric and its components

• Experience with Databricks and building data engineering solutions using Databricks is a strong advantage

• Strong programming skills using Python and/or Scala

• Ability to integrate Fabric capabilities for seamless data flow, governance, and collaboration across teams

• Strong experience in building ingestion frameworks using different services and approaches

• 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 such as MSSQL, MySQL, PostgreSQL, or Cassandra

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

• 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

• A bachelor's or master’s degree in computer science, Information Systems, or a related field

Nice To Have:

• Knowledge of source control/version control systems and CI/CD processes

• Familiarity with other cloud providers such as AWS and GCP