Data Pipeline Engineer

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.

Miratech has coverage across 5 continents and operates in over 25 countries around the world. We currently have R&D centers in Ukraine, India, Poland, Spain, Canada and our headquarters in the US. As we continue to expand globally, we are seeing India, the United States, Canada, Argentina, and Brazil, rapidly evolve into key growth areas in the Miratech network. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Our ForeverRemote work culture offers you the utmost flexibility that comes with remote work.

We are seeking a Data Pipeline Engineer to join our cloud and data engineering team, a key part of the Data Pillar supporting the Contact Center. Our team's primary focus is building and managing public cloud infrastructure on Azure and developing robust data pipelines. These pipelines facilitate the transfer of data from various source systems into Azure Data Lake Storage (ADLS) and Azure Snowflake, ensuring seamless data integration and availability for advanced analytics and reporting.

Responsibilities:

• Responsible for designing, and building data pipelines. Right from prototyping and designing functional code to coding and testing.
• Applying data engineering principles to analyze, problem-solve, and design solutions.
• Designing and developing test cases.
• Adopting Agile methodologies to develop data pipelines.
• Analyzing existing systems to provide recommendations for improvement.
• Ensuring proper documentation.
• Monitoring system performance and performing predictive maintenance.
• Performing system risk and reliability analysis.
• Creating data pipelines to ingest data from source systems (e.g., Kafka, Cloud Storage, Snowflake) into Azure storage accounts and Snowflake.

• 3+ years of Python development experience.
• 3-4 years of data engineering experience, with strong expertise in Azure Data Factory and Databricks.
• 2+ years of experience ingesting data into Snowflake.
• Proficiency with GitHub and GitHub Actions.
• Solid knowledge of Azure Storage and vNet.
• Working experience with Kafka and Cloud Storage systems.

We offer:

• Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. 
• Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program. 
• Work From Anywhere Culture: make the most of the flexibility that comes with remote work. 
• Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. 
• Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. 
• Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. 
• Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. 

* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.