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Azure Data Engineer
3 dni temu
technologies-expected :
Azure DevOps
Databricks
SQL
Jira
technologies-optional :
Python
PySpark
SparkSQL
about-project :
Do you have a passion for building cloud-based data solutions? We're seeking a skilled Cloud Data Engineer to design and implement data pipelines, data warehouses, and ETL workflows on Azure and Databricks. Your expertise will play a key role in helping us unlock the power of our data
responsibilities :
Designing and implementing data processing systems on the Azure platform. This involves writing efficient and scalable code to process, transform, and clean large structured and unstructured data volumes.
Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.
Integrating and transforming data to ensure its compatibility with the target data model or format.
Hands-on designing and optimizing data storage (data lakes, data warehouses, distributed file systems).
Familiarity with partitioning, compression, and optimization of data storage and retrieval.
Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.
Independence and responsibility in delivering solutions.
Ability to work under agile methodologies.
requirements-expected :
Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.).
At least 4 years of experience within Data&Analytics.
Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders.
Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps).
English at least at the B2 level, ideally C1.
Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus.
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