Required Skills

Datalake Azure Datafactory and Databricks or AWS

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 31st May 2022

JOB DETAIL

We are currently recruiting for a Data Engineer with solid experience in data engineering and a passion for Big Data.You will have the chance to join a team of Data Engineers and Data Analysts and be part of the growth and development of it, participate in a large variety of exciting and challenging projects and work with our exceptional team of Technology professionals.


Key Responsibilities:

  • Development, customize and manage integration tools, databases, warehouses, and analytical systems with the use of data related instruments/instances
  • Create and run complex queries and automation scripts for operational data processing.
  • Test the reliability and performance of each part of a system and cooperate with the testing team
  • Deploying data models into production environments. This entails providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.
  • Responsible for setting up tools to view data, generate reports, and create visuals
  • Monitoring the overall performance and stability of the system. Adjust and adapt the automated pipeline as data/models/requirements change.
  • Mentor and train colleagues where necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices.
  • Solve complex issues with minimal supervision.
  • Make improvement and process recommendations that have an impact on the business.

Qualification:

  • BE/ME/MCA in Computer Engineering.

Technology Stack Used & Required Knowledge:

  • Excellent understanding of ETL cycle
  • Experience in using Python/ PySpark and/or Scala for data engineering.
  • Understanding of data types/ handling of different data models.
  • Desirable to have experience with Spark, Kafka, Flask
  • Experience with the Microsoft Azure or AWS data management tools such as Azure Datafactory, Datalake, and Databricks, or AWS Snowflake is a plus
  • Knowledge of data visualization tools is a plus (PowerBI, Tableau).
  • Good scripting and programming skills.

Company Information