Role : Data Bricks Lead

Requirements :

- 5+ years of data warehousing/engineering, software solutions design and development experience.

- Code, test, and document new or modified data systems to create robust and scalable applications for data analytics.

- Work with other Bigdata developers to make sure that all data solutions are consistent.

- Partner with business community to understand requirements, determine training needs and deliver user training sessions.

- Perform technology and product research to better define requirements, resolve important issues and improve the overall capability of the analytics technology stack.

- Evaluate and provides feedback on future technologies and new releases/upgrades.

- Supports Big Data and batch/real-time analytical solutions leveraging transformational technologies.

- Works on multiple projects as a technical team member or drive user requirement analysis and elaboration, design and development of software applications, testing, and builds automation tools.

- Ability to Research and incubate new technologies and frameworks.

- Experience with agile or other rapid application development methodologies and tools like bitbucket, Jira, confluence.

- Have built solutions with public cloud providers such as AWS, Azure, or GCP

- Hands-on experience in Databricks stack

- Data Engineering technologies (Ex: Spark, Hadoop, Kafka etc.,)

Must be proficient in Streaming technologies :

- Hands-on in Python, SQL

- Expertise in implementing Data warehousing solutions

- Expertise in Any ETL tool i.e. (SSIS, Redwood)

- Good understanding on submitting jobs using Workflows, API & CLI

We offer you :

- A first-hand experience with C-Suite focused business advisory in the space of data & analytics.

- An opportunity to make deep industry connections with data science experts, client teams, and domain champions and be part of the change transforming the business environment today.

- A chance to try new things & take risks.

- Meaningful problems you'll be proud of solving.

- People you will be comfortable working with.

Key metrics for you will be :

- Solution quality and business value delivered to client

- Successful project deliveries

- Customer satisfaction on engagements