Sr Engineer - Data Analytics | NKT
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Sr Engineer - Data Analytics
Enhance enterprise-wide analytics with Microsoft Fabric
Are you interested in transforming data into actionable insightsAs a Senior Data Engineer, you will play a pivotal role in designing and managing scalable data solutions using Microsoft Fabric s integrated services. This is a unique opportunity to be part of a global IT team supporting digital transformation and data-driven decision-making across the organization. You ll work with advanced technologies like OneLake, Synapse, and Power BI, enabling real-time analytics and business intelligence. Join us in advancing data capabilities in a collaborative, international environment.
Do you want to be a key contributor in our digital growth journey
Design and deliver scalable data solutions
As a Senior Data Engineer, you will be responsible for building robust data pipelines, managing enterprise data storage, and enabling advanced analytics through Microsoft Fabric. You ll collaborate closely with cross-functional teams to translate business needs into technical solutions that support strategic decision-making.
Your responsibility will be to: - Design and maintain data pipelines using Data Factory and Synapse
- Optimize OneLake storage for performance and consistency
- Build enterprise-grade Data Warehouses within Microsoft Fabric
- Develop interactive dashboards and reports using Power BI
- Ensure data governance, security, and compliance across platforms
You will report to the Chief Enterprise Architect and work closely with global IT teams and business stakeholders. The role is based in Chennai and may involve occasional international travel for training and collaboration.
Experienced data engineer with global mindset
We are looking for a structured and results-oriented person who thrives in a collaborative environment. You take responsibility for your work, communicate effectively, and enjoy solving complex data challenges. You are someone who values teamwork, inclusivity, and continuous learning.
- 5+ years of experience in data engineering or BI development
- Experience with Microsoft Fabric (Data Factory, Synapse, Power BI)
- Proficiency in SQL, Python, and Spark/PySpark
- Solid understanding of data modeling, warehousing, and governance
- Familiarity with CI/CD, version control, and DevOps practices
Preferred: Experience with real-time data streaming and API integrations
Play a key role in the development of enterprise analytics
NKT is committed to developing a diverse organization and culture where people of diverse backgrounds can grow and are inspired to do their best. We are establishing gender diversity at NKT and encouraging all interested candidates to apply even if you don t tick all the boxes described. We believe that a diverse organization enables long-term performance, and that an inclusive and welcoming culture creates a better work environment.
At NKT, you ll be part of a collaborative team with opportunities to grow your skills in an international setting. We offer a work environment where innovation and knowledge sharing are encouraged. You ll have access to training, mentorship, and the chance to work on impactful projects that support our global digital strategy.
"As a leader, I believe in empowering individuals to innovate and grow through collaboration and continuous learning," says Hiring Manager, Sapna Anand.
Read more about our offer and listen to some voices of NKT Connectors here!
We will review applications continuously, but we recommend you apply no later than 30th of September.
Be aware that personality and cognitive tests might be included in the recruitment process. Please note that due to the GDPR regulations we cannot accept any applications via e-mail.
Be a Connector of the green tomorrow!
IT Asset Manager
Prabhakaran P emphasizes about the productive work environment at NKT, characterized by leadership, open communication, work-life balance, and recognition. He highlights the importance of safety, knowledge-sharing sessions, and team collaboration at NKT.
Our company culture is created by all of us - everyday.
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