At TeKnowledge, we turn complexity into clarity – and potential into progress. We go beyond problem-solving to transform how you grow. By blending cutting-edge technology with expert insight, we help enterprises, governments and tech vendors tackle their biggest challenges while preparing them for what’s next. From strategy to execution, we drive smarter, faster, and more sustained innovation—empowering organizations with the capability and control to lead with confidence.
Req ID: 16946
About the Job
- We're seeking an experienced Manager: Data Engineer to lead the design, development, and maintenance of scalable and reliable data pipelines that power our enterprise data platforms.
- In this role, you will manage a team of data engineers, ensure data quality and governance are embedded in every solution, and collaborate with architecture, governance, and analytics teams to deliver high-quality, trusted data products.
- You will play a key role in optimizing data ingestion, transformation, and storage while staying ahead of evolving technologies and best practices.
- At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity.
- We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.
- You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.
Responsibilities
- Design, develop, and maintain scalable, reliable data pipelines and integration workflows across multiple systems.
- Lead a team of data engineers to build and support enterprise-grade data platforms.
- Ensure data quality, lineage, and governance are embedded in engineering solutions.
- Optimize data ingestion, transformation, and storage in cloud and hybrid environments.
- Collaborate with architecture, governance, and analytics teams to ensure alignment with business needs and platform strategy.
- Stay current with evolving data engineering best practices and emerging technologies.
Qualifications
Education:
- Bachelor’s Degree in Computer Science, Information Systems, Software Engineering, or related field.
- Master’s degree in Data Engineering or Big Data (preferred but not required).
Experience:
- 6–10 years of experience in data engineering, ETL development, or data warehousing.
- Minimum of 2 years in a team lead or managerial capacity.
- Hands-on experience building and maintaining data pipelines, preferably in Fintech, Banking, or high-volume transactional environments.
- Deep knowledge of data lakehouse architecture, real-time streaming, and batch processing systems.
- Proven ability to collaborate with data scientists, analysts, and product teams to deliver trusted, high-quality data products.
Preferred Certifications:
- Google Cloud Professional Data Engineer, AWS Certified Data Analytics, or Microsoft Azure Data Engineer Associate.
- Apache Spark or Kafka certifications.
Why You’ll Enjoy It Here
- Be Part of Something Big – A growing company where your contributions matter.
- Make an Immediate Impact – Support groundbreaking technologies with real-world results.
- Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
- Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
- We Care – Integrity, empathy, and purpose guide every decision.
Method of Application
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