Job Description
Key Responsibilities & Skillsets :
- Design, develop, and maintain efficient and scalable ETL pipelines using Dataiku, Alteryx, or Informatica .
- Collaborate with data architects and business stakeholders to gather requirements and translate them into technical specifications.
- Build data models and support schema design for analytical and operational use cases.
- Extract data from various sources, transform it as per business rules, and load it into target data stores (data warehouse, data lakes, etc.).
- Write complex SQL queries for data extraction, transformation, and analysis.
- Optimize and troubleshooting existing ETL processes for performance, scalability, and reliability.
- Develop data quality checks and validations to ensure data accuracy and integrity.
- Work with large datasets from Oracle and other relational databases.
- Use Python for data transformation, scripting, automation, or integration tasks.
- Ensure adherence to best practices in coding, testing, and documentation.
- The ability to thrive in a high energy, high growth, fast paced, entrepreneurial environment. I am willing to learn new skills and implement new technologies
- Strong organizational, written and verbal communication skills with high attention to detail and the ability to work independently with minimal supervision
- Highly-collaborate team player who can build strong relationships at all levels of technology and business organization.
Required Skills & Qualifications :
Bachelor’s degree in computer science, Information Systems, or a related field.5+ years of experience in ETL development and data integration projects.Hands-on experience with at least one of the following ETL tools : Dataiku, Alteryx, Informatica .Strong SQL skills and experience with Oracle databases.Experience with data modelling techniques (e.g., star / snowflake schema, normalization, ER modelling).Proficiency in Python for data processing and scripting.Experience working with large-scale datasets and enterprise data warehouses.Strong analytical and problem-solving skills.Excellent communication and collaboration abilities.Knowledge of cloud data platforms (e.g., AWS, Azure, GCP) will be a plusExperience with Agile / Scrum methodologies.Exposure to data governance and metadata management tools.