Data Engineer; Snowflake, DBT, Airflow
Position: Data Engineer (Snowflake, DBT, Airflow)
Company Description
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 Forever Remote work culture offers you the utmost flexibility that comes with remote work.
Job Description
Role Overview We are looking for an Intermediate Data Engineer to join the Enterprise Data Platform (EDP) team. The role focuses on building, maintaining, and optimizing scalable data pipelines that power investment, risk, research, and analytics use cases across the organization.
Key Responsibilities
Data Pipeline Engineering
- Design and develop robust ETL/ELT pipelines using Python
, Airflow , and DBT .
- Build and optimize Snowflake data models for performance, scalability, and cost efficiency.
- Implement ingestion pipelines for internal and external financial datasets (Market, Securities, Pricing, ESG, Ratings).
Data Modeling & Transformation
- Develop DBT models using best practices (sources, staging, marts).
- Apply data quality checks, tests, and documentation within DBT
.
- Ensure consistent data transformations aligned with EDP standards.
Orchestration & Monitoring
- Create and manage Airflow DAGs with dependency handling, retries, and alerting.
- Monitor pipeline health and troubleshoot failures proactively.
- Support incremental loads, backfills, and SLA-driven workflows.
Data Quality & Governance
- Implement validation, reconciliation, and completeness checks.
- Ensure adherence to data governance, security, and access control policies.
- Collaborate with stakeholders to resolve data discrepancies.
Collaboration & Delivery
- Work closely with data analysts, platform teams, and upstream data providers.
- Participate in design reviews, code reviews, and sprint planning.
- Contribute to reusable frameworks and EDP accelerators.
Qualifications
Required Skills & Qualifications
- 3–5 years of experience in Data Engineering
.
- Strong hands-on experience with Python
, Snowflake , DBT , and Apache Airflow .
- Solid understanding of SQL, data warehousing concepts, and ELT patterns.
- Experience working with large-scale, structured financial datasets.
- Familiarity with Git, CI/CD, and agile delivery practices.
Good to Have
- Experience in investment, risk, or financial data domains.
- Knowledge of performance tuning and cost optimization in Snowflake
.
- Exposure to data quality frameworks and metadata management.
- Understanding of cloud platforms (AWS/Azure/GCP).
Additional Information
- 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, 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.
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