Senior Data Engineer

enthusiastic and highly skilled Senior Data Engineer

scalable data systems and pipelines

This is a hands-on role where you'll design and optimize modern data infrastructure, ensuring reliability, scalability, and performance. You'll collaborate closely with product, engineering, and analytics teams to deliver solutions end-to-end from concept to deployment in a fast-paced, agile environment.

What You'll Do :

• Design, build, and maintain

  robust, scalable data pipelines

  and architectures.
• Work with large-scale

  structured and unstructured datasets

  , implementing complex transformations.
• Develop and optimize

  ETL/ELT workflows

  with modern orchestration frameworks.
• Ensure

  data quality, governance, security, and reliability

  across platforms.
• Deliver data structures that support

  predictive modeling, analytics, and reporting

  .
• Implement

  monitoring, alerting, and performance optimization

  for data systems.
• Collaborate with stakeholders to integrate and deploy

  data-driven solutions

  .
• Mentor peers and contribute to

  architecture decisions

  for cloud-native data environments.

What We're Looking For:

• Bachelor's/Master's in Computer Science, Data Engineering, or related field.
• 5+ years working with

  large-scale data systems and pipelines

  .

• Advanced SQL

  and strong

  data modeling

  expertise.
• Hands-on experience with

  PostgreSQL, MS SQL Server

  , and modern cloud data warehouses (Snowflake, Redshift).
• Strong

  Python programming

  skills for automation and optimization.
• Experience with

  ETL/ELT frameworks

  and orchestration tools (Airflow, dbt).
• Exposure to

  cloud platforms (preferably AWS)

  and DevOps practices (CI/CD, Docker, Kubernetes, Terraform).
• Ability to leverage

  AI-assisted coding tools

  (GitHub Copilot, ChatGPT, etc.) to boost efficiency.
• Excellent

  problem-solving and communication

  skills with a collaborative mindset.