Location : Chennai
Experience : 3 - 6 Years
Job Description : 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)