Technical skills

- Should have 6+ years of hands-on experience in Data engineering
- Excellent command over ETL tools covering Snowflake, Azure Data Lake, Databricks and Azure Data Factory

• Good command over writing Python Scripts for custom build data ingestion

- Proficient in SQL scripts (Stored procedure, Views, Functions, Joins)
- Experience with Snowflake
- Experience with DBT (for ETL transformation logic)
- Experience with FIVETRAN (for data ingestion)
- Positive understanding of data warehouse fundamentals and principles, database modelling knowledge and experience • Experience utilizing data pipelines and connectors across different source systems
- Experience with cloud data integration tools and services related to Fivetran, DBT or similar data ingestion and data transformation tools
- Experience working Git version control, preferably GitHub
- Professional IT related education or equivalent (university) education (e.g., B.E/BTech/MCA/MSC) in a relevant subject, preferably in Computer Science is a preferred
- Experience working as ETL/ELT developer or a Data engineer

Requirements for the role:

- Analzse and organize raw data, providing datasets and sources for business reporting requirements
- Implement data quality rules to enhance data reliability • Understand business needs and objectives
- Conduct complex data analysis and data modelling, interpreting trends and patterns
- Collaborate with data scientists and Reporting engineers to help resolve the reporting and Analytics needs
- Provide expertise and leadership in the development of new products, services,



and processes from a Data Engineering technical perspective.
- Work independently adhering to high technical standards, taking ownership of projects ensuring they conform to departmental standards before going to QA.
- Work effectively within an agile, deadline-driven production process to complete project development with rapid, iterative cycles.
- Liaise with Team Leaders, Product and Project Managers to ensure projects are taken from creation to completion - on time and on budget.
- Provide accurate estimates for existing and new projects alike.
- Be an integral part of the code review process, providing constructive feedback against code produced by other team members.
- Ensure good communication is maintained with other team members/departments throughout project life cycles.
- Write clear, clean, and concise scripts, SQL and transformation logic
- Fix bugs and transformation problems rapidly
- Use lateral thinking and investigative techniques to solve challenges across various technical streams.
- Participate in the ongoing development, adoption and promotion of Data Engineering standards
- Investigate and participate in discussions with team members about best practices and help identify optimal technical solutions
- Actively contribute to departmental learning and standards within the team environment through involvement in presentations/demonstrations and participate in the continual drive for collaboration and knowledge sharing amongst the team
- Keep abreast of the latest trends and emerging technologies within the Data Engineering community and continually develop skill

📌 Lead- Data Engineer (Chennai)
🏢 Hogarth World Wide
📍 Chennai