Data Engineer - Azure -

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Data EngineerData

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Quick Summary

Overview

Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.

Technical Tools

Data EngineerData

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

Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.

Designing and implementing data models that support efficient data storage, retrieval, and analysis. Collaborating with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes.

Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions. Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner.

Independence and responsibility for delivering a solution

Ability to work under Agile and Scrum development methodologies

Train and mentor junior data engineers, providing guidance and knowledge transfer

Designing and implementing data processing systems on Azure platform. This involves 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 such as databases, APIs, or streaming platforms.

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

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.

Skillset

4-6 years of professional experience in a similar role.

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).

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

Independence and responsibility in delivering solutions.

Ability to work under agile methodologies.

Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems).

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

Full-time position with work contract.

Medical Insurance.

Grocery Coupons.

Saving fund.

30 days of Christmas bonus.

Remote work bonus.

Profit sharing.

50% vacation premium.

100% remote.

Flexibility regarding working hours.

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.

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.