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Data Engineer - Hadoop/Spark |Bangalore | 3+ Yrs

  • HuQuo
  • India, B...
  • 3 - 7 Yrs

Job Description

  • 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.)

Job Responsibilities

  • 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.

Location

Bangalore Urban, Karnataka, India