Senior data scientist

Job Summary

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will work closely with data analysts, data scientists, and software engineers to ensure reliable data flow, storage, and accessibility for business insights and analytics.

Data Engineer

• Develop, maintain, and optimize ETL/ELT pipelines
• Build scalable data architectures and data warehouses
• Integrate data from multiple sources (APIs, databases, cloud platforms)
• Ensure data quality, integrity, and security
• Monitor and troubleshoot data pipeline performance
• Collaborate with analytics and business teams for reporting needs
• Implement data governance and best practices
• Automate workflows and improve data processing efficiency
• Support real-time and batch data processing systems

• Strong knowledge of SQL and database systems
• Experience with Python, Scala, or Java
• Hands‑on experience with ETL tools and frameworks
• Knowledge of cloud platforms such as:
  • Amazon Web Services
  • Google Cloud
  • Microsoft
• Experience with big data technologies:
  • Apache Spark
  • Hadoop
  • Kafka
• Familiarity with data warehousing concepts
• Understanding of CI/CD and Dev Ops practices

• Problem‑solving mindset
• Strong communication skills
• Team collaboration
• Analytical thinking
• Attention to detail

• Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
• Relevant certifications are a plus

• 2+ years of experience in data engineering or related roles
• Experience with modern data stack tools like Airflow, Snowflake, Databricks, or dbt
• Exposure to machine learning pipelines is an advantage

• Programming:
  Python, SQL, Java
• Databases:
  Postgre
  
  SQL, MySQL, MongoDB
• Cloud: AWS, Azure, GCP
• Orchestration:
  Airflow
• Warehousing:
  Snowflake, Redshift, Big Query
• Version Control:
  Git