Commercial experience leading on client-facing projects, including working in close-knit teams
3+ years of experience and interest in Big Data technologies (Hadoop / Spark / Relational DBs)
3+ years of experience working on projects within the cloud ideally AWS or Azure
Data Warehousing experience with cloud products like Snowflake, Azure DW, or Redshift
Experience in building operational data pipelines across a number of sources, and constructing relational and dimensional data models using any ETL/ELT tools (e.g. Talend, Informatica, Alteryx etc.)
Posses ETL Experience with Data Bricks
Must posses strong understanding in Data Quality (e.g. Profiling, Cleansing, Validations et.) concepts & Testing methods
Strong development background with experience in SQL along with at least one scripting knowledge (e.g. Python, Java, Scala, R etc.)
Good to have experience with streaming architectures and patterns like Kafka
Good to have better understanding of DevOps process
Comfortable with client facing role with good consulting skills having knowledge in SDLC process
Excellent interpersonal skills when interacting with clients in a clear, timely, and professional manner.
A deep personal motivation to always produce outstanding work for your clients and colleagues
Excel in team collaboration and working with others from diverse skill-sets and backgrounds.