Sr. Data Engineer (Spark, Kafka, GCP)

Charlotte, VT - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Sr. Data Engineer (Spark Kafka GCP)

Duration: 6 months

Location: Charlotte NC Hybrid

Interview: First round is virtual with a coding assessment second round is Onsite technical

Disqualifiers/ Dislikes on Resumes::

No Coding skills

If they are ETL Developers

Below are the MUST have Non-Negotiable Required Skills:

Spark Frame Work 4 Years Minimum

Kafka 3 Years

GCP 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

Sr. Data Engineer (Spark Kafka GCP) Duration: 6 months Location: Charlotte NC Hybrid Interview: First round is virtual with a coding assessment second round is Onsite technical Disqualifiers/ Dislikes on Resumes:: No Coding skills If they are ETL Developers Below are the MUST have ...