Oversee a comprehensive range of duties encompassing critical operational and strategic functions, ensuring alignment with organizational objectives and industry standards. This position demands meticulous attention to detail, robust problem-solving capabilities, and the capacity to manage multiple high-priority tasks efficiently. Responsibilities include leading cross-functional teams, driving performance metrics, and fostering a collaborative work environment that encourages innovation and continuous improvement. Candidates must demonstrate a proven track record of leadership, exceptional communication skills, and the ability to adapt to evolving business challenges. Proficiency in relevant software tools, analytical thinking, and a commitment to professional development are essential for success in this role.
We are looking for a seasoned Senior Data Engineer to design, construct, and enhance our data infrastructure. This position requires not just hands-on execution but also strategic technical leadership—creating scalable solutions capable of processing sensitive financial data with both efficiency and precision. Your responsibilities will include implementing proactive measures to bolster data reliability while ensuring our systems adhere to the stringent security protocols demanded by the Fintech sector.
Oversee a comprehensive range of critical duties, including managing daily operations, ensuring adherence to established policies and procedures, and maintaining rigorous compliance with all relevant regulations. Collaborate closely with cross-functional teams to drive operational efficiency, optimize workflows, and achieve strategic objectives. Monitor performance metrics to identify trends, address inefficiencies, and implement data-driven improvements. Prepare and present detailed reports to leadership, outlining key insights, challenges, and actionable recommendations. Foster a culture of accountability, innovation, and continuous improvement across the organization. Additionally, lead project initiatives from inception to completion, ensuring timely delivery and alignment with business goals.
Design and oversee the development of robust batch and real-time data pipelines capable of handling high-volume financial transactions with scalability and efficiency at the forefront. Assume full ownership of these pipelines, ensuring their reliability, performance, and seamless integration within the financial infrastructure.
Develop robust data infrastructure leveraging cutting-edge streaming and processing solutions, such as Apache Kafka and Spark.
Design, develop, and refine high-performance ETL/ELT pipelines to enable seamless data integration across core banking systems, internal platforms, and third-party APIs, ensuring reliability, scalability, and efficiency throughout their lifecycle.
Through ongoing efforts, the platform’s scalability will be enhanced by automating manual workflows and redesigning data processes to optimize efficiency.
To uphold the integrity, reliability, and precision of data, ensuring the safeguarding of critical financial reporting and customer balance accuracy.
Integrate security, governance, and compliance considerations as foundational elements in the development and operation of all data systems that process sensitive financial data and personally identifiable information (PII).
Perform comprehensive root-cause analysis to address data anomalies and avert systemic issues proactively.
Establish robust monitoring, validation, and observability frameworks to identify pipeline failures and data drift at an early stage.
Seasoned professionals will provide mentorship and guidance to junior data engineers, fostering the elevation of technical proficiency and standards throughout the team.
Partner with Product, Risk, Finance, and Engineering teams to develop scalable data solutions that effectively address intricate business requirements.
Develop robust, analytics-ready data models and supporting infrastructure designed to deliver actionable insights, thereby empowering informed business decisions.
Seeking a professional with expertise in [specific field or knowledge area], strong proficiency in [relevant skills], and a proven track record of [key attribute or achievement]. The ideal candidate will demonstrate exceptional analytical abilities, meticulous attention to detail, and the capacity to [specific responsibility or task]. Additionally, the role requires [specific requirement], such as [certification, degree, or experience], along with the ability to [additional responsibility or skill]. Strong communication skills, both written and verbal, are essential, as the position involves [specific interaction or collaboration aspect]. The successful applicant will exhibit adaptability, problem-solving acumen, and a commitment to [relevant goal or value].
Embrace Live Touraco’s core values of innovation, operational excellence, and unwavering respect for every individual, fostering an environment where creativity thrives, standards are upheld, and diversity is celebrated.
With a minimum of five years of hands-on experience in Data Engineering, preferably within the Financial Services or Fintech sectors.
A bachelor’s degree in Computer Science, Statistics, Information Technology, or a closely related discipline is required for this role.
Proficiency in Python, Java, or Scala at an advanced level is required.
Proficient in SQL at an expert level, with extensive practical experience in database design and data modeling. Skilled in implementing and managing modern data warehouses, including platforms such as Snowflake, BigQuery, or Redshift.
Big Data Tech requires a solid grasp of message queuing platforms such as Kafka and RabbitMQ, along with proficiency in stream processing methodologies.
Skilled in utilizing workflow orchestration tools, including Airflow, DBT, and Luigi.
Proven expertise in Infrastructure as Code tools, specifically Terraform and CloudFormation.
Proficiency in containerization technologies, specifically Docker and Kubernetes, is required.
Proficient in creating data visualizations with tools such as Tableau, Power BI, or open-source libraries, including D3 and Matplotlib.
Qualifications
BA/BSc/HND
Experience Required
5 years
