- 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.
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Interesting Job Opportunity: Data Engineer - Mumbai Metropolitan Region, India - HuQuo
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