Vipany Group Hiring BigData Engineer

Role: Big Data Engineer
Experience: 6 – 12Years
Job Location: Chennai

Desired profile

  • Minimum 6+ years of experience in Big Data Technologies.
  • Background experience in any one of the Databases is mandatory (MySQL, Oracle, PostgreSQL, MS SQL).
  • Must have set up big data analytics platform from data warehouse using Java, Hadoop, Pig, Hive, NoSQL, DBs, Spark, AWS Redshift.
  • Should have worked on any one of the programming/scripting languages like Java, Python, Scala.
  • Experience in AWS/Azure or related cloud-based solutions.
  • Hands-on experience with scripting on Unix/Linux.
  • Must have experience in installing DWH solutions.
  • Good to have experience with BI tools like Tableau, QlikView
  • Exemplary technical knowledge with good communication skills
  • An excellent team player, capable of handling Individual Contributor role, when required
  • Quick learner with boundless spirit to work.
  • Ready to take ownership and responsibilities on related tasks and modules
  • Adaptable to new cutting-edge technologies and flexible to learn
  • Good to be in decision-making and handling crunch situations

Roles and Responsibilities:-

  • Design, Implement and support Data Models, ETLs that provide structured and timely access to large datasets.
  • Build fault tolerant, self-healing, adaptive and highly accurate Big Data solutions.
  • Performance tuning on queries running over billions of rows of data running in an AWS Redshift/Hive/Spark.
  • Create and maintain optimal data pipeline architecture,
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems