Senior Data Engineer
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Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
The Data Engineer leads the design development and maintenance of scalable and secure data architecture pipelines and systems to support the companys data-driven initiatives. This role not only ensures the integrity performance and delivery of data solutions but also guides the broader data engineering team mentors junior engineers and drives innovation and best practices. The Senior Data Engineer collaborates cross-functionally to align data solutions with strategic business goals and plays a critical role in shaping the companys data infrastructure roadmap.
Responsibilities:
- Design build and scale robust ETL pipelines to support complex data workflows while ensuring high performance reliability and adaptability to evolving business needs.
- Automate and manage data ingestion from diverse sources (databases APIs cloud platforms) ensuring system resilience fault tolerance and failover readiness.
- Optimize data storage processing and retrieval layers to balance performance scalability and cost efficiency across the data platform.
- Modernize and enhance legacy data systems by identifying gaps implementing architectural improvements and aligning solutions with future business requirements.
- Lead technical excellence within the data engineering function through mentorship code reviews best-practice enforcement and adoption of advanced tools and frameworks.
- Ensure end-to-end data quality integrity and governance by implementing validation monitoring testing and compliance-focused data controls.
- Collaborate cross-functionally with analytics product engineering DevOps and business stakeholders to translate requirements into scalable data models and transformations.
- Drive a data-driven culture and long-term data strategy by enabling self-service analytics maintaining clear documentation leading training initiatives and contributing to architecture roadmaps and governance policies.
Qualifications :
- 10 years of hands-on experience in Data Engineering
- Bachelors degree in Data Engineering Computer Science Data Analytics or a related field is required. Masters degree preferred.
- Advanced proficiency in Python and SQL with proven experience in ETL pipeline development.
- Experience with cloud data platforms such as AWS GCP or Azure including cloud-native data engineering tools and services.
- Strong understanding of modern data architecture patterns including batch processing streaming and event-driven systems along with industry best practices.
- Demonstrated ability to optimize data workflows troubleshoot complex data issues and ensure high performance scalability and reliability of data systems.
- Strong project management skills with the ability to work independently manage priorities and deliver high-quality outcomes in a fast-paced environment.
Nice to Have
- Hands-on experience with modern data platforms and tools such as data warehouses/lakehouses (Snowflake Redshift BigQuery) big data or streaming frameworks (Spark Kafka) and data orchestration tools (Airflow or equivalents).
- Previous experience working with large-scale healthcare or insurance organizations.
We Offer
- Culture of Relentless Performance: Join a technology-driven team with a 99% project success rate and over 30% year-over-year revenue growth.
- Competitive Pay and Benefits: Comprehensive compensation package including health insurance and relocation support.
- Work From Anywhere Culture: Flexibility to work remotely.
- Growth Mindset: Access to certification programs mentorship internal mobility and continuous learning opportunities.
- Global Impact: Work on impactful projects with leading global clients.
- Welcoming Multicultural Environment: Inclusive collaborative and supportive workplace with regular team-building activities.
- Social Sustainability Values: Commitment to IT education community empowerment fair 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.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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 player ... View more
