Data Engineer - Python/AWS/SQL (3-6 yrs) Chennai (Analytics & Data Science)
Yo HR Consultancy
Chennai, India
2h ago
source : hirist.com

Location : Chennai

Experience : 3 - 6 Years

Job Description : Responsibilities :

Responsibilities :

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL and AWS technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • 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.
  • Qualifications : BS or MS degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

    Technology experience :

  • Object-oriented / object function scripting languages : Python, Java
  • Relational SQL and NoSQL databases, including MySQL, Postgres, Cassandra.
  • AWS cloud services (and / or GCP / Azure) : EC2, S3, RDS, Redshift, Lambda functions.
  • Container technologies : Docker, Kubernetes
  • Data pipeline and workflow management tools : Azkaban, Luigi, Airflow, etc.
  • Good to have : Elastic Search, Kibana

  • Experience building APIs and fetching data from SOAP and REST APIs.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Working knowledge of message queuing, stream processing, and highly scalable data stores.
  • Strong analytic skills related to working with unstructured datasets.
  • Experience building and optimizing data pipelines, architectures and data sets.
  • Experience performing analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Working Days : 5 Days a Week (12 : 00 PM to 9 : 00 PM)

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