Vivriti Capital | Hiring | VAM-Data Engineer | BigDataKB.com | 2022-09-16

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Job Location: Chennai

Key Responsibilities:

  • Create and maintain optimal dataarchitecture,

  • Assemble large, complex data sets thatmeet functional / non-functional business needs

  • Identify, design, and implement internalprocess improvements: automating manual processes, re-designing infrastructurefor greater scalability, etc.

  • Build the infrastructure required foroptimal extraction, transformation, and loading of data from a wide variety ofdata sources using SQL and AWS big data technologies.

  • Build analytics tools that utilize thedata pipeline to provide actionable insights into customer acquisition,operational efficiency and other key business performance metrics.

  • Work with stakeholders including Management,Risk, Business, Technology, Data Science teams to assist with data-relatedtechnical issues and support their data infrastructure needs.

  • Create data tools for data scientist teammembers that assist them in building and optimizing our product into aninnovative industry leader.

  • Work with data science experts to strivefor greater functionality in our data systems.

Qualifications:

  • Advanced working SQL knowledge andexperience working with relational databases, query authoring (SQL) as well asworking familiarity with a variety of databases.

  • Experience building and optimizing bigdata data pipelines, architectures, and data sets.

  • Experience performing root cause analysison internal and external data and processes to answer specific businessquestions and identify opportunities for improvement.

  • Strong analytic skills related to workingwith unstructured datasets.

  • Build processes supporting datatransformation, data structures, metadata, dependency and workload management.

  • A successful history of manipulating,processing and extracting value from large, disconnected datasets.

  • Working knowledge of message queuing,stream processing, and highly scalable big data data stores.

  • Strong project management andorganizational skills.

  • Experience supporting and working withcross-functional teams in a dynamic environment

We are looking for a candidate with 2 to 8 years ofexperience in a Data Engineer role , whohas attained a Graduate degree in Computer Science, Statistics, Informatics,Information Systems or another quantitative field. They should also haveexperience using the following software/tools:

  • Experience with AWS cloud services: EC2, EMR,RDS, Redshift

  • Experience with data on server-based systemslike Oracle

  • Experience with object-oriented/objectfunction scripting languages: Python, Java, C , Scala, etc

  • Experience with big data tools

  • Experience with relational SQL and NoSQLdatabases, including Postgres and Cassandra.

  • Experience with data pipeline and workflowmanagement tools: Azkaban, Luigi, Airflow, etc.

  • Experience with stream-processing systems:Storm, Spark-Streaming, etc.

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