Senior data scientist

Key Responsibilities

• 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

Required Skills & Qualifications

• 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 DevOps practices

Soft Skills

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

Educational Requirements

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

Preferred Experience

• 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

Example Tools & Technologies

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