Manager

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 plus
• Experience with Agile/Scrum methodologies.
• Exposure to data governance and metadata management tools.