Remote (Work From Home) Jobs for Data Engineer in Colombia

EPAM is hiring remote Data Engineer professionals

Apply for a Data Engineer Job in Colombia

Apply for a remote full-time Data Engineer job at EPAM from Colombia and experience the benefits of working alongside our top global tech professionals.

Our remote jobs offer a comprehensive benefits package, including health insurance, learning opportunities, and relocation options. In addition, you'll be able to take advantage of the training and mentoring programs available to help you achieve your career goals; bring exceptional value to international projects; get access to the latest technology in our competency centers; and receive the recognition you deserve for your contributions.

At EPAM, you can build a structured career path with the guidance of experienced skill advisors. Grow your career on your own terms while enjoying the flexibility of full-time remote work.

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Senior Data Software Engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a global leader at the forefront of data analytics and insights. We are actively seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful data-driven solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities

Design and develop new features using the Agile development process (Scrum)
Prioritize and ensure high-quality standards at every stage of development
Guarantee reliability, availability, performance, and scalability of systems
Maintain and troubleshoot code in large-scale, complex environments.
Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

requirements

At least 3+ years of production experience in Data Software Engineering
Be hands-on with deep expertise in server development in Python and PySpark
Deep expertise in Azure Data Factory for building scalable and high-performance applications
Experience with Advanced SQL for designing and managing database schema, including procedures, triggers, and views
Experience in Data analysis and troubleshooting
Knowledge of Integration testing support for version control, integration, and deployment
Support applications and systems in a production environment, ensuring timely resolution of issues
Reviewing requirements and translating them into a documented technical design for implementation
Exposure to Databricks, hdinishght, azure data lake, data api, Spark, Scala, Kafka for application packaging and deployment
Expertise in Big Data Primary skills and Data background for designing and building scalable applications
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with EDL changes in DB Views/Stored procedures is a plus

Senior Data Software Engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Become a key player in our remote team by taking on the role of a Senior Data Software Engineer dedicated to a project centered around Databricks workflows, APIs, analytical development, and data engineering.

In this role, your primary focus will involve constructing and sustaining intricate data pipelines, facilitating seamless deployment to production. Your responsibilities extend to crafting end-to-end production solutions while engaging with cross-functional teams to deliver top-notch results.

responsibilities

Engage in the Agile development process (Scrum) to conceive and implement innovative features
Prioritize and uphold high-quality standards throughout each developmental phase
Ensure the dependability, accessibility, performance, and scalability of systems
Troubleshoot and maintain code within expansive, intricate environments
Work in tandem with Developers, Product and Program Management, and seasoned technical professionals to furnish customer-centric solutions
Provide technical insights for new feature requirements in collaboration with business owners and architects
Stay abreast of industry trends and emerging technologies for continuous improvement
Champion the execution of solutions aligned with business objectives
Guide and mentor less seasoned team members, fostering skill enhancement and career growth
Participate in code reviews, ensuring adherence to standards and code quality
Collaborate seamlessly with cross-functional teams to achieve project objectives
Actively contribute to architectural and technical discourse

requirements

A minimum of 3 years of hands-on experience in Data Software Engineering
Proficiency in Databricks, Microsoft Azure, PySpark, Python, and SQL for development and deployment in production
Familiarity with Azure DevOps, GitHub (or alternative platforms), and version control for efficient project management
Capability to develop comprehensive end-to-end production solutions
Robust experience on one or more cloud platforms such as Azure, GCP, AWS
Proven track record in constructing resilient data pipelines
Capacity to integrate disparate elements for solutions spanning multiple systems
Exceptional communication skills in both spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with REST APIs and Power BI would be an advantage

Senior Data Software Engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer with experience in PySpark, Azure Data Factory, and advanced SQL for the project.

The ideal candidate must have at least 2 years of solid/hands-on experience in Data Software Engineering with primary skills in Big Data and a strong data background.

responsibilities

Conduct data analysis and troubleshootin
Plan and implement new requirements/data entities on ED
Provide support for integration testing
Make sure data pipelines are scalable and efficient

requirements

3+ years of relevant work experience
Must have skills in DSE Python and Azure Databricks
Familiarity with EDL changes in DB Views/Stored procedures and integration testing support
Advanced knowledge of PySpark, Azure Data Factory, and SQL
Ability to collaborate effectively with the team
Excellent communication skills with an upper-intermediate level of English

nice to have

Experience with HDInsight, Azure Data Lake, Data API, Spark, Scala, and Kafka will be an added advantage

Data Engineer

Data Software Engineering

Azure Databricks, Azure DevOps, Azure Event Hubs

40 hrs/week

12+ months

Portugal

We are seeking a highly skilled and motivated Data Engineer to join our team.

The ideal candidate will be responsible for maintaining existing data systems, enhancing our current Data Platform, and implementing future changes as our clients' consumption needs and ingestion evolve. This role requires expertise in handling complex datasets and collaborating with senior team members on high-impact projects.

responsibilities

Maintain and enhance existing data systems
Develop enhancements for the existing Data Platform
Implement future changes to accommodate growing consumption needs and ingestion
Work with complex datasets, including the addition of new datasets from scratch
Collaborate with senior team members on complex projects, particularly when adding new large datasets
Grow with the technological landscape, adapting to new tools and methodologies as they emerge

requirements

2+ experience in Data Software Engineering
Proficiency in PySpark
Experience with Azure Databricks, Azure DevOps, and Azure Event Hubs
Knowledge of the Azure cloud stack
Experience in working with large and complex datasets
Ability to work in a team and collaborate with various stakeholders
Familiarity with Databricks Unity Catalog and Terraform

nice to have

Experience in Azure Analytics Engineering
Familiarity with DevOps practices

Senior Data Engineer

Data Software Engineering

Azure Databricks, Azure DevOps, Azure Event Hubs

40 hrs/week

12+ months

Portugal

We are seeking a highly skilled and motivated Senior Data Engineer to join our team.

responsibilities

Maintain and enhance existing data systems
Develop enhancements for the existing Data Platform
Implement future changes to accommodate growing consumption needs and ingestion
Work with complex datasets, including the addition of new datasets from scratch
Collaborate with senior team members on complex projects, particularly when adding new large datasets
Grow with the technological landscape, adapting to new tools and methodologies as they emerge
Ensure data quality and integrity in all solutions delivered
Optimize data retrieval and data storage processes
Conduct data analysis and provide insights to inform business decisions

requirements