IT Data Scientist

Job Description: Top 5 Required Skills (These are not preferred skills. If the candidate does not have these required skills, they will be rejected completely)
1. Developing Streaming Data pipelines using Kafka
2. Developing Batch data pipelines using Python Frameworks
3. Developing datasets on Clickhouse DB
4. Working knowledge on BigQuery
5. Worked with BigData Platforms

Technologies: What does this temp must know to perform the required job duties (These are not preferred technologies - If they do not have these technologies they will be rejected completely)
1. Clickhouse
2. Python
3. BigQuery
4. Kafka

Required Education:
Please list out all acceptable education titles/degrees by name.
Bachelors or Masters in Computer Science and Engineering / Information Technologies / or relevant Engineering Degree

Required Years of Experience

4-8 years of experience (Example "Engineer Senior")

Hiring Manager must include years of Experience required by Client and Full Time Job Descriptions.
Note: Engineering roles must have follow the years of experience listed below specific to leveling in Job Title
Example - if Client Job Title selected has:
0-4 years of experience (Example "Engineer")
4-8 years of experience (Example "Engineer Senior")
8-12 years of experience (Example "Engineer Staff")
12+ years of experience (Example "Engineer Senior Staff")

Physical Requirements (Lifting, outdoor work, travel): If "yes" please specify max weight for each category: None
N/A

Driving Requirements: Please complete below: None

N/A

Key Words:
DataEngineer, Clickhouse, Kafka, BigQuery

Job Description:

• Develop, code and maintain systems to support the Analytics Infrastructure & Data Lake.

• Partner/Contribute on analytics requests and do statistical data analysis as needed.

• Development and operations of data pipeline and associated processes.

• develop efficient, scalable, resilient, self-healing and reusable data engineering solutions.

• Building data quality as a process within the pipelines.

• Participate in performance tuning efforts at code and infrastructure level.

• Collaborate with global team on projects and operations