Job ID: JOB_ID_4598
About the Role:
We are looking for a talented, enthusiastic, detail-oriented, and experienced Data Engineer to tackle big data challenges in an agile environment. This role involves big data design and analysis, data modeling, and the development, deployment, and operations of big data pipelines. You will lead the development of critical data pipelines and datasets, expanding self-service data knowledge and capabilities. This position requires a deep understanding of data, analytical techniques, and how to connect insights to business objectives, with practical experience in maintaining high operational standards for ETL and big data pipelines.
What You’ll Do:
- Design and develop robust data models and pipelines to support data ingestion, processing, storage, and retrieval.
- Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure.
- Optimize data engineering systems and processes to handle large-scale data sets efficiently.
- Design solutions that can scale horizontally and vertically.
- Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs.
- Effectively communicate complex technical concepts to non-technical stakeholders.
- Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations.
- Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls.
What You’ll Need:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- 5+ years of experience in data engineering and analytics technical strategy.
- Proficiency in the data engineering tech stack, including Snowflake, PostgreSQL, Python, SQL, GitLab, AWS, Airflow, DBT, and others.
- Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP.
- Strong skills in Python and/or another data-centric language.
- Thorough knowledge of data modeling, database design, data architecture principles, and data operations.
- Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans.
- Experience in the Fintech industry is advantageous.
About Exaways:
Exaways is a company focused on providing innovative solutions in the data engineering space. We are committed to fostering a collaborative and growth-oriented environment for our employees.
Compensation & Location
Salary: $120,000 – $180,000 per year (Estimated)
Location: Remote
Recruiter / Company – Contact Information
Email: .deepa@exaways.com
Recruiter Notice:
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