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Data Engineer Intern job at ENGIE Energy Access | Apply Now
Are you looking for Intern Jobs in Uganda 2024? If yes, then you might be interested in Data Engineer Intern job at ENGIE Energy Access.
Kampala, Uganda
Full-time
ENGIE Energy Access is a leading provider of decentralized energy solutions, committed to expanding access to clean, affordable, and reliable electricity across Africa to drive sustainable development and economic empowerment. Recognized for its innovative pay-as-you-go solar home systems and mini-grid solutions, the company has earned a strong reputation in the renewable energy sector.
ENGIE fosters a dynamic and inclusive work culture, offering employees opportunities for growth, innovation, and impact-driven careers in the clean energy space. The company regularly recruits professionals passionate about sustainability, with diverse roles in engineering, sales, operations, and customer service, supporting flexible work arrangements where possible.
Since its establishment through the merger of ENGIE Mobisol, Fenix International, and ENGIE PowerCorner, the company has evolved into a key player in Africa’s off-grid energy sector. Leveraging cutting-edge technology and a customer-centric business model, ENGIE Energy Access has deployed millions of solar products, improving the livelihoods of millions across multiple countries. Operating in over nine African nations, the company continues to scale its reach, aiming to provide electricity to millions more. At its core, ENGIE upholds values of sustainability, innovation, and inclusivity, ensuring that energy solutions remain accessible and environmentally friendly.
Through its corporate social responsibility initiatives, ENGIE Energy Access actively supports local communities by promoting clean energy education, climate resilience, and socio-economic development. For more information, visit their official website at https://www.engie-energyaccess.com.
Data Engineer Intern job at ENGIE Energy Access
ENGIE Energy Access
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 supporting the data team’s functions that 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.
Data Modelling and Extract, Transform and Load (ETL):
Implement robust data models to support analytics and reporting requirements.
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.
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
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
SERVICES
COMMERCIAL
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INDUSTRIAL
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RESIDENTIAL
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INDUSTRIAL
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RESIDENTIAL
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RESIDENTIAL
6 months+ of industry experience working on data engineering with a focus on data ingestion, data warehousing, pipeline automation, and ETL development
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.
Sense of adventure and willingness to dive in, think big, and execute with a team
Qualifications:
Bachelors or master’s in computer science, mathematical 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
APPLICATION FOR THIS POSITION MUST BE DONE ONLINE:
Are you interested? Click the "APPLY" button below to submit your application.
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