• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 23rd Dec 2020

Job Description:

•          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 SQL and AWS ‘Big data’ technologies.

•          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.

Required Qualifications

•          5+ years of experience (Sr-level) Strong Programming experience with object-oriented/object function scripting languages:  Scala

•          5+ years of experience (Mid-level) Experience with big data tools: Hadoop, Apache Spark etc

•          1+ years of  strong technical Experience with AWS cloud services and DevOps engineering: S3, IAM, EC2, EMR, RDS, Redshift, Cloudwatch with Docker, Kubernetes, GitHub, Jenkins, CICD

•          Experience with stream-processing systems: Python, Spark-Streaming, etc. (Nice to have)

•          1+ Years of experience with relational SQL or, Snowflake and NoSQL databases, like Postgres and Cassandra.