Senior Data Engineer Job in Tmf Group

Senior Data Engineer

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Job Summary

TMF Group helps its clients operate internationally and belong wherever they are in the world. Our work includes helping companies of all sizes with business services such as HR and payroll, accounting and tax, corporate secretarial, global governance and administration and fiduciary services for structured finance, private equity and real estate investments.

Job Purpose

TMF provides a range of services for Corporates to assist them in: a) running a local business, b) preparing to enter a new market or c) operating across many borders. These services include Corporate Secretarial, Accounting & Tax, and HR & Payroll.

In addition to this, TMF Group is a recognized global player in the administration of Capital Markets transactions and PERE investments, providing a complete range of fund and business services.

The role is Principal Data Engineer for TMF Group and the role will report to Head of Data & Insights.

Key Responsibilities

  • Design and develop highly scalable, reliable and self-heal data engineering pipelines to process large volumes of data across disparate data sources effectively addressing functional and non-functional concerns while adhering to well established engineering concepts
  • Stay ahead of the technology by researching and learning new technologies, developing innovative solutions for complex problems in data engineering to serve AI and Data Science needs of the future
  • Design and develop data quality system to identify data issues proactively, rather than reactively
  • Develop and promote best practices, reference architecture, engineering standards in data engineering
  • Collaborate with Architecture teams in setting technical direction across data engineering platform and drive technology lifecycle management and communication of standards/Outcomes to the engineering team
  • Support the Data-Ops needs of multiple teams, systems and products. You will also be responsible for integrating them with the architecture used across the enterprise.
  • Work with engineering leaders to build a high performing engineering team and provide technical leadership, coaching, motivation and participate in the selection of technical talent
  • Develop whitepapers, patents, contribution to open source community, attend/present in conferences
  • Mentor engineering teams to drive POT (Proof of Technology) and influence adoption of emerging technologies

QUALIFICATIONS

  • BE, MS or PhD degree in Computer Science, Informatics, Information Systems or equivalent
  • Have a passion for designing and implementing data solutions
  • Has a strong problem solving and analytical mindset
  • Willing to learn new skills and technologies
  • Self-starter with self-initiative and direction
  • Strong interpersonal skills and ability to work in a collaborative environment
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
  • Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to engineering teams and business stakeholders

Candidate profile

  • 6+ years of proven expertise on engineering scalable applications with good expertise on modern big data tech stack in translating business needs into effective technical/data strategy and solution
  • Experience in building highly scalable, reliable and self-heal data pipelines to process large datasets
  • Deep understanding of Data Structures and algorithms
  • Experience with relational SQL and NoSQL databases
  • Hands on experience with advanced SQL
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Scala, etc.
  • Experience with Spark and other distributed processing frameworks.
  • Understanding of code management, CI/CD concepts and their application in the Big-data universe
  • Experience in building operational ETL data pipelines from a number of disparate sources in a Data lake environment
  • Experience working with ETL tools like SSIS, ADF, Databricks
  • Experience with public cloud architectures, pros/cons, and migration considerations
  • Experience in implementing solutions for Master Data Management
  • Experience in Agile development methodologies
  • Proven leadership capabilities, the ability to influence others, interpersonal skills, and problem solving skills

Microsoft Azure certifications are a plus

Make an impact

Our global presence in more than 80 countries allows you to impact how global and diverse clients do business as well as give back to the global communities we operate in

Be part of One TMF

At TMF Group, it s our people who make us who we are. Our company thrives on entrepreneurial spirit and is full of proactive people who combine enthusiasm with responsibility and accountability.

A world of opportunity

Regardless of where you are in your career, TMF Group opens a world of opportunity where you will be part of our team and is supported in your global career journey.

Experience Required :

Minimum 6 Years

Vacancy :

2 - 4 Hires

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