Job details

Data Engineering Technical Lead

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Company Description

MUFG Investor Services is a trusted partner to many of the world’s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more. Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today’s investment management landscape. As a division of Mitsubishi UFJ Financial Group (MUFG), one of the world’s largest financial institutions with approximately $3 trillion in assets, we combine deep expertise with the strength and stability of a leading financial institution. To learn more, visit us at www.mufg-investorservices.com.

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Job Description

The successful candidate will be part of a team which will be responsible for the correct, timely and efficient flow of data from various source systems to various end points.

You Will:

Develop data flows based on the requirement by executing the necessary steps of data transformation, data validation and mapping using nifi, SQL and Python.
Develop necessary components to establish connection with various sources of data and destinations via API, SQL, S3, SFTP and any other communication protocol.
Maintain and apply changes on existing flows running on nifi ETL tool.
Perform thorough testing and validation to support the accuracy of data transformations, data verification and delivery.
Develop unitest and regression tests.
Prepare release plans and coordinate with the stakeholders and release engineers to ensure the proper execution.
Provide post-implementation support and troubleshoot any potential issues.
Provide 2nd and 3rd level support to operation teams and resolve issues in a timely manner.
Prepare documentation of existing and new data flows as well as clients’ procedures.

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Qualifications

You Have:

Bachelor’s degree in Computer Science or a related technical field or equivalent experience.
5+ years of commercial experience ETL tools (experience with Apache NiFi will be considered an advantage).
Experience in data-related process controls.
Experience working with a team of developers using agile methodologies to achieve planned process deliverables.
Experience with at least one of the following i.e. Amazon Redshift, Snowflake or Databricks
Extensive experience with writing Python and Pyspark, specifically for; writing complex data ingestion pipelines, developing ETL/ELT jobs and implementing distributed data processing solutions
Experience with CI\CD i.e. implementing continuous integration workflows using tools like GitHub Actions, GitLab CI, or Jenkins
High level of accuracy and attention to detail.

Preferred:

Experience with programming languages such as Python will be considered as advantage.
Experience with Apache Kafka or AWS Kinesis is desirable

Additional Information

What’s in it for you to join MUFG Investor Services? 

Take a look at our careers site and you’ll find everything you’d expect from a career with the fastest-growing business at one of the world’s largest financial groups. Now take another look. Because it’s how we defy expectations that really defines us. You’ll feel that difference in all kinds of ways.  Our vibrant CULTURE. Connected team. Love of innovation, laser client focus, and next-level LEARNING & DEVELOPMENT.  Oh, and we really walk the talk when it comes to HYBRID WORKING.   

So, why settle for the ordinary?  Apply now for a Brilliantly Different career. 

We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted.

We are an equal opportunity employer.

Average salary estimate

$100000 / YEARLY (est.)

min

max

$80000K

$120000K

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What You Should Know About Data Engineering Technical Lead, MUFG Investor Services

Are you ready to take on an exciting challenge as a Data Engineering Technical Lead at MUFG Investor Services in Toronto, ON, Canada? We're on the lookout for a passionate individual who can lead data flows efficiently and accurately across a variety of systems. In this role, you’ll be handling data transformation and validation using tools like Apache NiFi, SQL, and Python, all while collaborating with a talented team that thrives on agility and innovation. Your day-to-day will involve establishing connections with various data sources, performing thorough testing to ensure data integrity, and coordinating release plans with stakeholders. With your 5+ years of experience in ETL tools and a strong acumen for data processes, you'll have the opportunity to shape our data landscape. Plus, you’ll gain exposure to cutting-edge technologies like Amazon Redshift and AWS Kinesis. Here at MUFG, we believe in fostering a vibrant culture where continuous learning and collaboration are at the forefront. If you love the idea of working in a hybrid model that values innovation, teamwork, and excellence, then we would love to hear from you! Explore a career where you can make a real impact. Join us and be part of our Brilliantly Different journey!

Frequently Asked Questions (FAQs) for Data Engineering Technical Lead Role at MUFG Investor Services

What are the responsibilities of a Data Engineering Technical Lead at MUFG Investor Services?

As a Data Engineering Technical Lead at MUFG Investor Services, your responsibilities will include creating and maintaining data flows from various source systems to intended endpoints. You'll leverage your skills in data transformation, validation, and mapping using tools such as Apache NiFi, SQL, and Python. Additionally, you'll be tasked with thorough testing to ensure the accuracy of your data transformations, as well as developing unit tests and regression tests. Collaboration with stakeholders to prepare release plans and providing support for existing flows is also a core part of this role.