Designing and implementing scalable and robust data pipelines to collect, process, and store data from various sources
Developing and maintaining data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation
Optimizing and tuning the performance of data systems to ensure efficient data processing and analysis
Collaborating with product managers and analysts to understand data requirements and implement solutions for data modeling and analysis
Identifying and resolving data quality issues, ensuring data accuracy, consistency, and completeness
Implementing and maintaining data governance and security measures to protect sensitive data
Monitoring and troubleshooting data infrastructure, performing root cause analysis, and implementing necessary fixes
Ensuring the use of state-of-the-art methodologies to carry out job in the most productive and effective way

Have a Bachelors in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with a minimum 4 years of experience
Have Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems
Have Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle)
Have Experience with building complex jobs for building SCD type mappings using ETL tools like Talend, Informatica, etc
Have Experience with data visualization and reporting tools (e.g., Tableau, Power BI)
Have strong problem-solving and analytical skills, with the ability to handle complex data challenges
Have Experience in data modeling, data warehousing and ETL principles
Have Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery)
Have Advanced knowledge of distributed computing and parallel processing
Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink)
(Good to have) Have Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)
Have certification in relevant technologies or data engineering disciplines.

Senior Data Architect

Key skills