Company Description

Are you looking for a team of professionals on top of cutting-edge technologies? Are you looking for a place to boost your Big Data career? We invite you to join our Big Data Competence Center, part of Sigma Software’s complex organizational structure that combines various clients, interesting projects, and activities to grow your professional skills.

CUSTOMER 

We’re acting in various business domains and working with the top range of clients (those without NDAs can be found here: sigma.software/case-studies).

Our team highly supports employees’ freedom, independence in decision-making, and the desire to deeply understand client’s request and see the root of the problem. We believe that people striving toward this mindset are bound to succeed as acclaimed professionals & driving force of Big Data development in Ukraine.

PROJECT  

Big Data Competence Center is where we collect the best engineering practices and unite them into one knowledge base to provide the best technical excellence services for our clients.

We’re not just a team gathered to write code. We all are willing to contribute to the field by participating in the life of Big Data Unit or by constantly growing our skills. In our unit, you can be a Big Data engineer/team lead/architect, or you can become a mentor, or a person behind all the new technologies in the team, or an active listener if you will. Whatever you decide, be sure that you’re not alone. Whether it’s a difficult task, an unordinary client request, or your next project to choose, you’ll always have a mentor & teammates with likewise mindsets to come up with the best solution.

We’re using an unusual approach, hiring people not for a specific project, but, first and foremost, to join our team. This gives us a chance to know you better and ensure that we’ll provide a perfect match between the client’s needs & your professional interests.

If you have the courage to become a part of the top-notch Big Data community in Ukraine, grab your chance, and let’s make some history together!

Job Description

• Contributing to new technologies investigations and complex solutions design, supporting a culture of innovation considering matters of security, scalability, and reliability with the focus on building out our ETL processes
• Working with a modern data stack, producing well-designed technical solutions and robust code, and implementing data governance processes
• Working and professionally communicating with the customer’s team
• Taking up responsibility for delivering major solution features
• Participating in requirements gathering & clarification process, proposing optimal architecture strategies, leading the data architecture implementation
• Developing core modules and functions, designing scalable and cost-effective solutions
• Performing code reviews, writing unit and integration tests
• Scaling the distributed system and infrastructure to the next level
• Building data platform using the power of modern cloud providers (AWS/GCP/Azure)

Extra Responsibilities 

• These responsibilities will help you to grow professionally and can vary depending on the project and the desire to extend your role in the company
• Being in the AWS cloud team and actively contributing to the partnership
• Developing the Micro Batch/Real-Time streaming pipelines (Lambda architecture)
• Working on POCs for validating proposed solutions and migrations
• Leading the migration to modern technology platforms, providing technical guidance
• Adhering to CI/CD methods, helping to implement best practices in the team
• Contributing to unit growth, mentoring other members of the team (optional)
• Owning the whole pipeline and optimizing the engineering processes
• Designing complex ETL processes for analytics and data management, driving the massive implementation

Qualifications

• 5+ years of experience with Python and SQL
• Experience with AWS, specifically API Gateway, Kinesis, Athena, RDS, and Aurora
• Experience building ETL pipelines for analytics and internal operations
• Experience building internal APIs and integrating with external APIs
• Working with Linux operational system
• Effective communication skills, especially for explaining technical concepts to nontechnical business leaders
• Desire to work in a dynamic, research-oriented team
• Experience with distributed application concepts and DevOps tooling
• Excellent writing and communication skills
• Troubleshooting and debugging ability

WILL BE A PLUS

• 2+ years of experience with Hadoop, Spark, and Airflow
• Experience with DAGs and orchestration tools
• Practical experience with developing Snowflake-driven data warehouses
• Experience with developing event-driven data pipelines