What you will do:

• Design of data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.
• Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.
• Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modelling) and understanding (documentation, exploration) of the data.
• Interact with stakeholders regarding data landscape understanding, conducting discovery exercises, developing proof of concepts, and demonstrating it to stakeholders.
• Work with the Agile multicultural teams in Asia, the EU, Canada, and the USA.

What makes you a great fit:

• Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks platform.
• Proven skill sets in AWS Data Lake services such as - AWS Glue, S3 Lambda, SNS, IAM, and skills in Spark, Python, and SQL.
• Experience in Pentaho
• Good understanding of developing data warehouses, data marts, etc.
• Has a good understanding of system architectures, and design patterns and should be able to design and develop applications using these principles.
• Good collaboration and communication skills
• Excellent problem-solving skills to be able to structure the right analytical solutions. Strong sense of teamwork, ownership, and accountability
• Analytical and conceptual thinking
• Ability to work in a fast-paced environment with tight schedules.
• Good presentation skills with the ability to convey complex ideas to peers and management.