Responsibilities
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JD: Data Engineer COE
Job Responsibilities
Collaborate on a multitude of dashboard-related projects, from data extraction and processing to dashboard creation, ensuring timely completion and adherence to quality standards
Configure and manage data sources like MySQL, Mongo, Elasticsearch, Redis, Cassandra, Hadoop, etc.
Collaborate with development teams to ensure the smooth operation of BI and related projects.
Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Develop and utilize robust, independent web-based tools, microservices, and solutions.
Research, recommend, and implement new technologies to improve the efficiency and effectiveness of the DevOps pipeline.
Qualifications:
Bachelor’s or master’s degree in computer science , Engineering, Technical, Software Engineering, or a related field
with Overall 5+ years of IT experience, in which at least 3+ years of hands-on experience in Python or Java with any one data engineering language/framework like PySpark / Scala / Azure Synapse for data manipulation and analysis.
Hands-on experience in anyone scripting language like Type script or Java script and BI tools like Power BI with any one database technology like SQL server, Postgres or MySQL is a plus.
knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores of various tools, open-source technologies, and cloud services Awareness of critical concepts in DevOps and Agile principles is an added advantage.
Profile required
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- Processing, cleansing, and verifying the integrity of data used for analysis.
- Conduct data quality checks and exploratory analyses.
- Demonstrated programming skills in relevant languages - Python, API
- Build models end-to-end.
- Understanding of statistical modeling (Regression, Clustering, Decision trees, Logistic Regression,)
- Understanding of machine learning algorithms (KNN, Random Forests, Ensemble Methods, Bayesian/Markov networks etc.)
- Should be able to integrate end-to-end ML solution into feature/product suite and/or business functions
- Experience with data visualization tools and UI development technologies will be a plus
Why join us
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Business insight
At Societe Generale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious.
Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA.
If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!
Still hesitating?
You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.
We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.