Remote Senior Data Engineer Azure

4 dni temu


Poznań, Greater Poland Lingaro Pełny etat
We are seeking an experienced Cloud Data Engineer proficient with Azure and Databricks. The ideal candidate will have hands-on experience in designing and implementing data pipelines, data warehousing solutions, and ETL workflows. Be an expert in mentioned technologies.

Designing and implementing data processing systems on Azure platform. Building data pipelines to ingest data from various sources such as storages, databases, APIs, or streaming platforms.

Support team members with troubleshooting and resolving complex technical issues and challenges.

Provide technical guidance in data engineering and with team in selecting appropriate tools, technologies, and methodologies. Be updated with the latest advancements in data engineering and ensuring the team follows best practices and industry standards.

Collaborate with stakeholders to understand project requirements, define scope, and create project plans.

Support project managers to ensure that projects are executed effectively, meeting timelines, and quality standards. Provide guidance in areas such as data modeling, database design, and data integration.

Align coding standards, conduct code reviews to ensure proper code quality level.
• Identify and introduce quality assurance processes for data pipelines and workflows.

Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards).

Maintain technical documentation of the project, control validity and perform regular reviews of it.

1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have).

~ Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)

~ Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have).

~ Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps).

~ Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support.

~ Knowledge of data management principles and best practices, including data governance, data quality, and data integration.

~ Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines.

~ Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues.

~ Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects.

~ Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.

~ Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus.

You can choose to work remotely or in the office, depending on your location. 

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

~ Cooperation with top-tier engineers and experts. 

~ Lingarians earn 500+ technology certificates yearly. 

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

~

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