Crayon Data - Senior Data Engineer - DataLake (5-7 yrs)

Role : Senior Data Engineer.

Experience level : 5 to 7 yrs.

Location : Chennai (Hybrid).

Who are we :

Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a local presence in India and the UAE. The company was founded in 2012 with the vision of simplifying the world's choices.

Our flagship platform, maya.ai, helps enterprises across the Banking, Fin-tech, and Travel industries create and capture sustainable revenue streams by unlocking the value of data.

maya.ai's capability is driven by four "as a Service" components Data, Recommendation, Customer Experience, and Marketplace that work individually and together to create tangible results.

Crayon Data recently won the E50 awards organized by KPMG and the Business Times in Singapore. Crayon was featured in HFS Hot Vendors Compendium in 2021. They were also among the top 15 finalists at Emerging Enterprise Awards 2019, Singapore.

Can you say "Yes, I have!" to the following?

- Good understanding of distributed system architecture, data lake design and best practices.

- Working knowledge of cloud-based deployments in AWS, Azure or GCP.

- Coding proficiency in at least one programming language (Scala, Python, Java).

- Experience in Airflow is preferred.

- Experience in data warehousing, relational database architectures (Oracle, SQL, DB2, Teradata).

- Expertise in Big Data storage and processing platform (Hadoop, Spark, Hive, HBASE).

Skills :

- Problem solver, fast learner, energetic and enthusiastic.

- Self-motivated and highly professional, with the ability to lead, and take ownership and responsibility.

- Adaptable and flexible to business demands.

Can you say "Yes, I will!" to the following?

- Lead analytical projects and deliver value to customers.

- Coordinate individual teams to fulfil client requirements and manage deliverables.

- Communicate and present complex concepts to business audiences.

- Manage and strategize business from an analytics point of view.

- Design algorithms for product development and build analytics-based products.

- Travel to client locations when necessary.