Job Title: Data Engineer
Hiring Organization: ENGIE
Location – Locality: Nairobi
Location – Region: Kenya
Industry: Energy
Job Type: Full
Time
Salary: KES
Date Posted: 04/24/2024
ENGIE is a leading world group that provides low-carbon energy.
Our group is a global reference in low-carbon energy and services.
Job Purpose/ Mission
This position will be part of the Global Data team. This is an
incredible opportunity to join a high-performing team that is passionate about
pioneering expanded financial services to off-grid customers at the base of the
pyramid. Key responsibilities will include building and maintaining data
pipelines between our main transactional and analytics databases, IoT data
delivered from devices, PBX, and our in-house ticketing system. You would also
be responsible for building pipelines to deliver data in realtime to our field
team mobile application to allow data-informed decisions to be made in the
field, as well as working with members of the data team to ensure high code
quality and database design. Your work will make a meaningful impact by
enabling Engie to continuously innovate on how we support our customers in
their repayment journey.
Responsibilities
Data Modelling and Extract, Transform and Load (ETL):
- Design and
implement robust data models to support analytics and reporting
requirements.
- Develop and
maintain scalable ETL processes from various sources, including multiple
ERP systems, into a data warehouse.
Data Ingestion and Automation data pipelines
- Implement data
validation and quality checks to ensure accuracy and completeness.
- Design, build,
and maintain automated data pipelines to streamline data processing and
transformation.
- Utilize
orchestration tools to schedule and monitor pipeline workflows.
- Collaborate with
data analysts to understand data requirements and support their analysis
needs.
- Optimize data
structures and queries to enhance performance and usability for analytical
purposes.
Data Warehousing
- Design and optimize
data warehousing solutions to support business intelligence and analytics
needs.
- Implement data
modelling techniques to organize and structure data for optimal querying
and analysis.
Optimization and Performance Tuning of Data Dashboards
- Troubleshooting
and fixing issues on existing reports/dashboards while also continuously
building improvements.
- Optimize
dashboard performance and ensure responsiveness for large datasets and
complex queries.
- Design, Data
Visualization and Dashboards
Experience:
- 5+ years of
industry experience working on data engineering with a focus on data
ingestion, data warehousing, pipeline automation, and ETL development
- Experience
building infrastructure to support streaming or offline data.
- Extensive
programming experience in Python/Scala/Java
- Experience with
SQL in addition to one or more of Spark/Hadoop/Hive/HDFS
- Working
knowledge of databases, data systems, and analytics solutions, including
proficiency in SQL, NoSQL, Java, Spark and Amazon Redshift for reporting
and dashboard building.
- Experience with
implementing unit and integration testing.
- Ability to
gather requirements and communicate with stakeholders across data,
software, and platform teams.
- Ability to
develop a strategic vision for data pipelining and infrastructure.
- Experience
managing a team of mid-level engineers.
- Sense of
adventure and willingness to dive in, think big, and execute with a team
Qualifications:
- Bachelors or
master’s in computer science , machine learning, or related field
Language(s):
- English
- French is a
plus.
- Technology :
Python, Java, SQL, NoSQL, Amazon Redshift, Kafka, Apache Beam,
Apache Airflow, Apache Spark