Responsibilities
- Design, develop, and maintain scalable ETL and ELT pipelines.
- Build and optimize data architectures, databases, and data warehouses.
- Integrate data from multiple sources, APIs, and third-party platforms.
- Ensure data quality, consistency, reliability, and security.
- Monitor and troubleshoot data pipelines and workflows.
- Collaborate with analytics, engineering, and business teams to understand data requirements.
- Implement data governance and best practices for data management.
- Optimize data storage, processing performance, and query efficiency.
- Support reporting, business intelligence, and analytics initiatives.
- Document data models, workflows, and technical processes.
Requirements
- 3+ years of experience in data engineering, data warehousing, or related roles.
- Strong proficiency in SQL and database management.
- Experience with Python, Java, Scala, or similar programming languages.
- Hands-on experience with ETL/ELT tools and data pipeline development.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience with modern data warehouses such as Snowflake, Redshift, BigQuery, or Databricks.
- Familiarity with orchestration tools such as Airflow or Prefect.
- Understanding of data modeling, data governance, and data quality principles.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently in a remote, collaborative environment.
Nice to Have
- Experience working with large datasets and distributed systems is preferred.
Benefits
- Competitive salary: Based on experience, technical expertise, and location.
- Fully remote role: Work from anywhere with flexible working arrangements.
- Career growth opportunities: Join innovative companies and work on impactful projects.
- Long-term opportunities: Build your career with growing global organizations.
- Continuous learning: Exposure to modern data technologies, cloud platforms, and large-scale data systems.
- Collaborative culture: Work alongside talented engineers, analysts, and business leaders.
- Cutting-edge technology: Gain experience with modern data stacks and cloud-native solutions.
Work Arrangement
Remote (Worldwide) — Remote
