Senior Data Engineer

JOB SUMMARY:

We're looking for a Senior Data Engineer to design and build complex data systems independently. You'll tackle challenging technical problems - optimizing query performance at scale, architecting fault-tolerant pipelines, and building high-throughput data services with minimal guidance. This role is for experienced engineers who can take ambiguous requirements, propose solid technical solutions, and deliver production-ready systems end-to-end.

This role requires 5+ years of hands-on experience building data infrastructure in production environments. You'll work independently on substantial technical projects, make sound architectural decisions within your domain, and contribute to raising the technical bar through code reviews and knowledge sharing. You're expected to be self-sufficient in execution while collaborating effectively with engineering, analytics, and product teams.

KEY RESPONSIBILITIES:

• Data Infrastructure: Design, develop, and maintain robust data pipelines and storage systems.
• Data Quality: Ensure high data reliability, consistency, and accuracy across all data flows.
• Performance Tuning: Optimize data processing jobs and system performance at scale.
• Process & Mentorship: Improve data engineering workflows and mentor junior data engineers.
• Collaboration: Work with business analysts, data scientists and backend teams to deliver timely, usable data solutions.

JOB REQUIREMENTS:

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field.
• Experience: Minimum 5 years in data engineering or related backend engineering roles.
• Tech Stack: Proficient in Python or Java/Scala; experience with big data tools like Spark, Flink, Kafka, Airflow, and cloud platforms (AWS/GCP/Azure), good understanding of SQL.
• Data Modeling: Solid experience in building and maintaining data models, data warehouses, and ETL/ELT pipelines.
• System Design: Ability to design scalable, reliable data architectures that support analytics and real-time use cases.
• Data Governance: Familiar with best practices for data quality, security, lineage, and compliance.
• Cross-team Work: Strong communication skills and ability to work closely with product, engineering, and business analytics teams.

Soft Skills:

• Team Mindset: Contribute to shared goals and support team members with a collaborative approach.
• Ownership: Take initiative and full responsibility for delivering high-quality data solutions.
• Adaptability: Open to feedback, eager to learn new technologies, and flexible in changing environments.
• Communication: Communicate complex technical topics clearly to both technical and non-technical stakeholders.

What We Offer

• Technical Leadership Opportunities: Participate in high-impact projects and lead the design of critical systems.
• Continuous Growth: Access to mentorship, learning resources, and a clear career progression path.
• High-Performance Collaboration: Work with a talented team using modern development practices (Agile/CI-CD).
• Flexibility and Trust: An open culture that encourages innovation and autonomous decision-making.