Job Description
- 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