Lead Data Engineer (Fintech team)

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Job Overview

The Lead Data Engineer at Mangrove will be a pivotal member of our Fintech team, responsible for designing, developing, and implementing robust data solutions that drive business insights and operations. You will lead the engineering team in establishing best practices for data architecture, enhancing data pipelines, and integrating data across various platforms. This role requires a strategic thinker who can collaborate with cross-functional teams to ensure our data infrastructure supports both current and future data needs of the business.

Job Responsibilities

• Design and implement scalable data architectures that support diverse business requirements.
• Lead the development and optimization of data pipelines for efficient data processing and storage.
• Collaborate with data scientists and analysts to ensure data quality and accessibility for analytical purposes.
• Implement best practices for data governance and security, ensuring compliance with industry standards.
• Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.
• Evaluate and integrate new data technologies and tools to improve data management and automation.
• Monitor performance of data systems and troubleshoot issues as they arise to maintain operational efficiency.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• Minimum of 5 years of experience in data engineering or related fields, with at least 2 years in a leadership role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with data warehousing solutions and ETL processes.
• In-depth knowledge of big data technologies such as Hadoop, Spark, and Kafka.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with database management systems including SQL and NoSQL databases.
• Excellent problem-solving skills and ability to work under tight deadlines.

Technologies & Tools

As a Lead Data Engineer, you will utilize a variety of technologies and tools that facilitate data management and analysis. These include data integration tools like Apache NiFi, data processing frameworks such as Apache Spark, cloud services like AWS Redshift and Google BigQuery, and ETL tools including Talend or Informatica. Additionally, you will work with container orchestration technologies such as Docker and Kubernetes to deploy data applications efficiently.

Ideal Candidates

The ideal candidate for the Lead Data Engineer position at Mangrove possesses not only the technical skills and experience but also a passion for data and innovation within the fintech landscape. They should have strong leadership qualities, with the ability to inspire and motivate a team toward achieving common goals. An analytical mindset combined with excellent communication skills will enable effective collaboration with various stakeholders. Additionally, a proactive approach to problem-solving and a keen interest in emerging technologies will contribute significantly to the success of our data engineering initiatives.