Data Ingénieur

p>At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.

We are seeking a skilled Python PySpark Developer to join our team. The ideal candidate will have strong programming expertise in Python and experience with Apache Spark, particularly in data processing and analytics. This role will involve designing, developing, and maintaining data pipelines and processing large datasets to deliver actionable insights for our business.

1. Design and implement efficient data processing pipelines using PySpark to handle large volumes of data.
2. Collaborate with data engineers and analysts to understand data requirements and translate them into technical solutions.
3. Develop and optimize Spark jobs for performance and scalability.
4. Write clean, maintainable, and well-documented code in Python to support data processing tasks.
5. Conduct data analysis to identify trends, anomalies, and opportunities for business improvement.
6. Troubleshoot and resolve issues related to data processing and integration.
7. Participate in code reviews and contribute to best practices in coding and software development.
8. Stay up to date with the latest developments in PySpark and big data technologies.

Requirements:

1. Proven experience as a Python Developer, with a strong focus on PySpark and big data processing.
2. Solid understanding of Apache Spark architecture and its components.
3. Proficiency in writing efficient and optimized queries in SQL.
4. Experience with data storage technologies such as Hadoop, HDFS, or cloud-based data solutions (e.g., AWS S3, Azure Data Lake).
5. Bachelor’s degree in computer science, Information Technology, or a related field; li>

It would be great if you also had:

• Banking Domain experience.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.
• Flexible hybrid policy to fit your schedule.
• A higher education certification policy.
• Cutting-edge projects at the world’s leading tier-one banks, financial institutions, and insurance firms.

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