Location: Hybrid / Remote / Onsite – Based on client needs
Department: Information Technology / Data & Analytics
Employment Type: Full-Time
About the Role
We are looking for a highly experienced and detail-oriented Senior Data Engineer to join our growing data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support advanced analytics, machine learning, and business intelligence initiatives. You’ll work closely with data scientists, analysts, and software engineers to ensure data is accessible, reliable, and optimized for performance.
Key Responsibilities
- Architect and implement robust, scalable, and secure data pipelines using modern data engineering tools and frameworks.
- Design and maintain data warehouses, data lakes, and ETL/ELT processes.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
- Optimize data systems for performance, reliability, and scalability.
- Ensure data quality, governance, and compliance with security standards.
- Monitor and troubleshoot data workflows and infrastructure issues.
- Mentor junior data engineers and contribute to team knowledge sharing.
- Stay updated with emerging technologies and recommend improvements to existing systems.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or related roles.
- Strong proficiency in SQL and programming languages such as Python, Scala, or Java.
- Experience with cloud platforms (AWS, Azure,GCP) and big data technologies (Spark, Hadoop, Kafka).
- Hands-on experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Familiarity with orchestration tools (e.g., Airflow, Prefect) and CI/CD practices.
- Solid understanding of data modeling, data architecture, and data governance principles.
Preferred Skills
- Experience with real-time data processing and streaming architectures.
- Knowledge of containerization and infrastructure-as-code (Docker, Kubernetes, Terraform).
- Exposure to machine learning workflows and MLOps practices.
Why Join Us?
- Work on cutting-edge data projects that drive business impact.
- Be part of a collaborative and innovative team culture.
- Opportunities for continuous learning and career advancement.
- Competitive compensation and comprehensive benefits.