Sr. Data Engineer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Spark Frame Work
Kafka
GCP
Airflow
Big Query

Job Details

HYBRID – Charlotte, NC

Face to Face interview

 

Below are the MUST have Non-Negotiable Required Skills:

·         Spark Frame Work – 4 Years Minimum

·         Kafka – 3 Years

·         Google Cloud Platform – 3 years

·         Airflow – 3 years

·         Big Query

 

Preferred Skills:

·         Java – 3 years

·         Python – 3 years

·         Microservices – 2years

·         SQL – 4 Years

 

Day to Day Responsibilities

·         Attending Scrum calls to provide daily status updates

·         Pickup assigned JIRA stories and work with Analysts or Product Owners to understand

·         Responsible for the development, maintenance, and enhancements of Data Engineering solutions of varying complexity levels across different data sources like DBMS, File systems (structured and unstructured) on-prem and cloud infrastructure; creates level metrics and other complex metrics.

·         Demonstrates Data Engineering skills (Spark Data Frame, Big Queries) by writing pipelines for business requirements.

·         Responsible for building, testing, and enhancement of Data Pipelines solutions from a wide variety of sources like Kafka streaming, Google Big Query and File systems; develops solutions with optimized data performance and data security

·         Taking ownership to test the feature End to End

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