Principal Data Engineer

Company Description

👋🏼 We’re Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19,500+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

As a Data Engineer at Nagarro, you will play a key role in designing, building, and maintaining data products within our Data Mesh Architecture. You will lead a small team of data engineers and collaborate closely with cross-functional teams to deliver scalable and high-quality solutions. Your expertise in data engineering tools and technologies, coupled with your leadership skills, will be essential in driving the success of our data initiatives.

Responsibilities:

• Lead the design and implementation of data products within a Data Mesh Architecture framework, leveraging technologies such as Talend for ETL, Qlik for data integration, Snowflake for Data Vaults and Data Products, Tableau for dashboards, Collibra for Data Catalogs, Monte Carlo for monitoring, DataOps for pipelines, and Immuta for access policy management.
• Collaborate with cross-functional teams to gather requirements, define data schemas, and design scalable data pipelines and workflows.
• Mentor and coach junior members of the data engineering team, providing guidance on best practices, code reviews, and technical solutions.
• Drive innovation and continuous improvement in data engineering processes and methodologies, staying abreast of emerging trends and technologies in the field.
• Partner with data architects, data scientists, and business analysts to understand data requirements and deliver solutions that meet business needs.
• Ensure data quality, integrity, and security standards are maintained across all data products and pipelines.
• Serve as a technical leader and subject matter expert in data engineering, providing thought leadership and driving adoption of best practices within the organization.

Qualifications

• Over 8 years of experience in data engineering, with a proven track record of designing and implementing data products in a production environment.
• Strong proficiency in data engineering tools and technologies, including but not limited to DataOps, Snowflake, Talend, Qlik, Tableau.
• Experience working within a Data Mesh Architecture framework is highly desirable.
• Demonstrated leadership skills, with experience leading small teams and driving successful project delivery.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels of the organization.
• Strong problem-solving skills and attention to detail, with a commitment to delivering high-quality solutions on time and within budget.