Azure Data Engineer - freelance

Lingaro; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Lingaro seeks an Azure Data Engineer with Databricks experience to design and implement scalable data pipelines on the Azure cloud. You will work with data scientists, analysts, and stakeholders to deliver robust ETL workflows and data storage solutions.

The ideal candidate has strong SQL and Python (PySpark) skills, familiarity with data warehousing concepts, and a solid grasp of Agile practices. Effective communication is essential for success in cross-functional projects.

Qualifications

• Experience with Azure cloud-based infrastructure and Databricks implementations.
• Proficiency in SQL and Python (PySpark for big data tasks).
• Strong communication skills to convey technical details to stakeholders.
• Working knowledge of Agile methodologies and related tools (JIRA, Azure DevOps).
• English at least B2 level, ideally C1.

Responsibilities

• Design and implement data processing systems on Azure, writing scalable code for large datasets.
• Build data pipelines to ingest data from databases, APIs, or streaming platforms.
• Transform and integrate data to fit target data models or formats.
• Design and optimize data storage (data lakes, data warehouses, distributed file systems).
• Tune performance, optimize storage, and implement caching to speed data retrieval.

Skills

Azure

Databricks

SQL

Python

PySpark

Agile

Communication

Tools

JIRA

Azure DevOps

Job description

_ Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We’re committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics. _

We are seeking Azure Data Engineers experienced with Databricks. Ideal candidates will have hands-on experience in designing and implementing data pipelines, data warehousing solutions, and ETL workflows.

Tasks

• 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.

• Experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems)

• Familiarity with partitioning, compression, 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.

• Taking ownership and demonstrating responsibility throughout the solution delivery process, ensuring that all tasks are executed efficiently, effectively, and to the highest standard.

• Ability to work under Agile methodologies.

Requirements

• Experience in Azure cloud-based infrastructure and Databricks implementation.

• Experience with SQL.

• Experience with Python, PySpark.

• Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders.

• Working experience in Agile methodologies – supporting tools (JIRA, Azure DevOps).

• English at least at B2 level, ideally C1.

Nice to have:

• Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we’ll provide an environment where you feel valued and empowered to learn and grow.