Lead Data Engineer - Tableau/Power BI

- Have a strong technical background, including 8+ years of experience in designing and engineering large scale systems.

- At least 3 years of experience working as lead in designing, development and deploying data integration and ETL solutions in a data warehousing and BI environment involving data transformations, change data capture, and error handling using Talend)

- Must have strong hands-on experience with Talent and ETL processes along with its best practices and standards.

- Knowledge of using JDBC components, Context creation and dynamic assignment of contexts, Various functions for - date handling, string handling etc.

- Good knowledge of database concepts of data modelling and mapping including normalization, dimensionality, referential integrity, indexes, keys, master data and metadata.

- Measure your success in terms of business impact, not lines of code.

- Internalise the best ideas from across the organisation, humbly setting a vision that others can get behind.

- Embrace DevOps culture: You build it, you run it.

- Work well cross-functionally and earn trust from co-workers at all levels.

- Care deeply about mentorship and growing your colleagues.

- Prefer simple solutions and designs over complex ones.

- Enjoy working with a diverse group of people with different areas of expertise.

- You challenge the existing approach when you see the cliff edge racing towards us, but also get on board once the options have been debated and the team has made a decision.

- You're comfortably organised amongst chaos.

- You're a broad thinker and have the capability to see the potential impact of decisions across the wider business.

- Good to have experience in Tableau and DBT.

Technology : We're pragmatic about our technology choices. These are some of the things we use at the moment :

- PostgreSQL, BigQuery, MySQL

- Talend, PowerBI, Tableau, DBT

- AWS, GCP

- Kubernetes, Docker, Terraform, GitHub, CircleCI