MEDIOR DATA ENGINEER

Overview.
The data engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis.
They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise.
What will you do? - Designs, develops, and maintains robust data pipelines using Databricks and Apache Spark, that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems; - Implement and manage advanced data products in our medallion architecture; - Implement and manage advanced data models, including dimensional, relational, and Data Vault modeling techniques; - Integrates data from different sources, including databases, data warehouses, APIs, and external systems; - Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed; - Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques; - Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency; - Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance; - Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data; - Manage Databricks Unity Catalog including administrative activities (policies, security, access control, cost control); - Optimize and administer Databricks environments to ensure high performance and reliability; - Cluster configuration and policy management in Databricks; - Build and maintain CI/CD pipelines (DevOps) in GitHub / Azure DevOpsM; - Collaborate with cross-functional teams to deliver comprehensive data solutions; - Ensure data quality, security, and governance across all data processes; - Communicate effectively with stakeholders to understand requirements and deliver actionable insights; - Operate within agile teams, contributing to continuous improvement in data engineering practices and processes; - Utilize cloud platforms such as AWS and Azure to build scalable data solutions; - Collaborates with data scientists and data analysts to optimize models and algorithms for data quality, security, and governance.
What are we looking for? - Minimum of 5 years of experience in data engineering, with at least 2 years of hands-on experience with Databricks; - At least 5 years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks; - Databricks Certifications (Associate, Professional, Administration); - Proficiency in modern data modeling techniques and data administration; - Strong knowledge of SQL, Python, PySpark; - Experience with cloud platforms such as AWS and Azure; - Good problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems; - Good communication skills and a proactive, “getting things done” mindset; - Experience working in agile teams and familiarity with agile methodologies; - Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI; - Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks); - Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata; - Ability to collaborate within and across teams of different technical knowledge to support delivery of data products.
What can you expect from us? - A permanent job contract for a long term project; - Tech equipment + SIM Card + personal smartphone; - Health and Life Insurance; - Social events and team buildings; - The commitment of letting you grow with us, and be rewarded accordingly; - A dynamic and young team that will be always there to support you; - Training in the latest technologies; - Coffee, fruits, snacks and a warm welcoming when you pass by the office.