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Il y a 2 mois
We are seeking a highly skilled Data Engineer to join our team at BI Consulting. As a Data Engineer, you will play a key role in designing, developing, and maintaining large-scale data systems and architectures.
Key Responsibilities- Design and Implement Data Architectures: Develop and implement data architectures that meet the business needs of our clients, ensuring data quality, security, and scalability.
- Develop and Deploy Data Pipelines: Design, develop, and deploy data pipelines that extract, transform, and load data from various sources, using tools such as Talend, Hadoop, and Spark.
- Manage and Maintain Data Systems: Ensure the smooth operation of data systems, including data storage, processing, and analytics, using tools such as HDFS, SQL, and NoSQL databases.
- Develop and Implement Data Analytics Solutions: Develop and implement data analytics solutions using tools such as Spark, Scala, and Python, to provide insights and recommendations to our clients.
- Collaborate with Cross-Functional Teams: Work closely with cross-functional teams, including business stakeholders, data scientists, and software developers, to ensure data-driven decision making.
- Strong Technical Skills: Proficiency in programming languages such as Java, Python, and Scala, as well as experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
- Experience with Data Integration Tools: Experience with data integration tools such as Talend, Informatica, and AWS Glue.
- Cloud Computing Experience: Experience with cloud computing platforms such as AWS, Azure, and Google Cloud.
- Agile Methodologies: Experience with agile methodologies such as Scrum and Kanban.
- Excellent Communication Skills: Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
- Competitive Salary and Benefits: A competitive salary and benefits package, including health insurance, retirement plan, and paid time off.
- Opportunities for Growth and Development: Opportunities for growth and development, including training and education programs, and career advancement opportunities.
- Collaborative and Dynamic Work Environment: A collaborative and dynamic work environment, with a team of experienced professionals who are passionate about data and analytics.
- Flexible Work Arrangements: Flexible work arrangements, including remote work options and flexible hours.
