Junior Analytics Engineer
Job purpose:
The role holder will be
responsible for implementation, maintenance, and development of back-end tools
and processes that are behind the company’s Data Warehouse, with a focus on
data operations and processes. In addition, he/she will oversee the Data
Warehouse core data’s integrity, accuracy, freshness, and development.
Key Responsibilities:
- Data
Ingestion: Design, create and deploy data ingestion pipelines to feed our
Data Warehouse with raw data from various sources, with a focus on Google
Sheet, using cloud-hosted data ingestion and storage tools.
- Data
Transformation: Create and maintain processes to transform the raw data
into clean and organized analytics data that can be used by the analysts
or for operations, with tools like Data Build tool (dbt).
- Data
Documentation: Provide identifiable and comprehensive data descriptions to
support all consumers in answering their queries.
- Processes
Orchestration: Orchestrate the data ingestion and transformation processes.
- Data
Accuracy, Security and Privacy: Define metrics and measures to be taken at
each step to ensure data is accurate, fits operational and analytical
needs. Define data quality standards in line with formatting and or use
and enforce privacy and security at each step across the organization.
- Data
Warehouse Administration: Keep track of data warehouse activities
including archiving, tracking data change and migration to allow speed and
efficiency in accessing different data sets and in arriving at corporate
decisions.
- Team
Technical Support: Support the Data Analytics team on a wide range of
technical matters and in alignment of business requirements with the data
assets.
Knowledge, Skills, and
Experience required:
Education And Experience.
- A
bachelor’s degree/ Diploma in IT.
- 1
years+ of Data or Analytics Engineering, preferably on cloud solutions.
- Experience
with Google Sheet or similar.
- Understanding
and experience of modern Data Warehouses technologies and best practices.
Technical Skills
- Advanced
SQL knowledge is a must.
- Strong
Excel and Google Sheets knowledge.
- Intermediate
proficiency with Google Cloud or Similar (Azure, AWS etc.)
- Intermediate
knowledge of ETL and ELT data integration processes.
The following will be good
to have:
- Python
language.
- Git,
dbt expertise.
- Competencies
and Attributes.
- Ability
to work independently and proactively.
- Attention
to details.
- Self-starter,
target oriented.
- Team
player and good communicator.
- Attention
to details.
What we offer:
- Be
a part of an international, dynamic, and driven team that has set their
aspirations high and work hard to achieve those.
- Opportunities
to learn and grow together with us.
- Competitive
compensation package.
- Health
benefits.
How to Apply