Commercial experience leading 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 cloud projects, ideally with AWS or Azure.
Data warehousing experience with cloud products like Snowflake, Azure DW, or Redshift.
Experience building operational data pipelines across multiple sources and constructing relational and dimensional data models using ETL/ELT tools (e.g., Talend, Informatica, Alteryx).
ETL experience with Databricks.
Job Responsibilities
Strong understanding of Data Quality concepts (e.g., profiling, cleansing, validations) and testing methods.
Strong development background with experience in SQL and at least one scripting language (e.g., Python, Java, Scala, R).
Good to have experience with streaming architectures and patterns like Kafka.
Good to have an understanding of the DevOps process.
Comfortable in a client-facing role with good consulting skills and knowledge of the SDLC process.
Excellent interpersonal skills for interacting with clients in a clear, timely, and professional manner.
Deep personal motivation to consistently produce outstanding work for clients and colleagues.
Excel in team collaboration and working with others from diverse skill sets and backgrounds.
Location
Mumbai, Maharashtra, India
About Company
HuQuo (derived from Human Quotient) is the next stage in the evolution of HR. In an industry thirsty for innovation, HuQuo is a fresh perspective towards people and organizations. At HuQuo,we do not look at human beings as mere resources, but as an ocean of untapped potential. Human Quotient goes beyond IQ and EQ. It’s the holistic representation of all human potential. We strategically manage this Human quotient. We believe that every organization has a human like individuality which can help nurture and flourish those individuals that resonate with it. Our endeavor is to bring such high resonance individuals and organizations together. We will achieve this through extensive use of analytics and deep immersion to understand the core of the organizations and people we work with.