Monotype

Data Engineer

Noida, India
Spark Azure Python Java MySQL Machine Learning JavaScript GCP TypeScript Scala PostgreSQL Hadoop AWS Node.js SQL
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Description

Data Engineer

Are you our “TYPE”?

Monotype (Global) 

Named "One of the Most Innovative Companies in Design" by Fast Company, Monotype brings brands to life through type and technology that consumers engage with every day. The company's rich legacy includes a library that can be traced back hundreds of years, featuring famed typefaces like Helvetica, Futura, Times New Roman and more. 

Monotype also provides a first-of-its-kind service that makes fonts more accessible for creative professionals to discover, license, and use in our increasingly digital world. We work with the biggest global brands, and with individual creatives, offering a wide set of solutions that make it easier for them to do what they do best: design beautiful brand experiences. 

Monotype Solutions India 

Monotype Solutions India is a strategic center of excellence for Monotype and is a certified Great Place to Work® three years in a row. The focus of this fast-growing center spans Product Development, Product Management, Experience Design, User Research, Market Intelligence, Research in areas of Artificial Intelligence and Machine learning, Innovation, Customer Success, Enterprise Business Solutions, and Sales. 

Headquartered in the Boston area of the United States and with offices across 4 continents, Monotype is the world’s leading company in fonts. It’s a trusted partner to the world’s top brands and was named “One of the Most Innovative Companies in Design” by Fast Company.

Monotype brings brands to life through the type and technology that consumers engage with every day. The company's rich legacy includes a library that can be traced back hundreds of years, featuring famed typefaces like Helvetica, Futura, Times New Roman, and more. Monotype also provides a first-of-its-kind service that makes fonts more accessible for creative professionals to discover, license, and use in our increasingly digital world. We work with the biggest global brands, and with individual creatives, offering a wide set of solutions that make it easier for them to do what they do best: design beautiful brand experiences.

What you’ll be doing: 

• Design, develop, and maintain robust data pipelines to extract, transform, and load data from multiple sources into

visualization tools.

• Collaborate with cross-functional teams to understand data requirements and translate them into scalable and

efficient pipeline solutions.

• Identify, evaluate, and integrate new data sources to enhance the quality and depth of available data.

• Implement data validation and quality checks to ensure data accuracy and integrity throughout the pipeline.

• Optimize and fine-tune data pipelines for improved performance, scalability, and reliability.

• Monitor pipeline performance and troubleshoot any issues or bottlenecks that may arise.

• Work closely with data scientists, analysts, and stakeholders to understand their data needs and provide

appropriate solutions.

• Stay up to date with industry trends and best practices in data engineering, and actively contribute to the

improvement of data engineering processes and technologies within the organization.

• Document data pipeline architecture, processes, and workflows for future reference and knowledge sharing.

• Having in depth understanding of AWS or Azure offerings is a must.

• In-depth understanding for DevOps processes is a must.

What we’re looking for:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

• Proven 4+ years of experience as a Data Engineer or similar role, with a focus on building data pipelines.

• Strong programming skills in languages such as Python, NodeJS, JavaScript, Typescript, Java, or Scala.

• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).

• Proficiency in NoSQL is a big plus

• Experience with big data processing frameworks like Apache Spark or Apache Hadoop.

• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

• Knowledge of data integration techniques, ETL (Extract, Transform, Load) processes, and data modelling.

• Experience with integration platforms like Microsoft SSIS or MuleSoft a plus.

• Experience with visualization tools like Tableau, Power BI, or Looker is a plus.

• Strong problem-solving and troubleshooting skills, with a keen attention to detail.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Monotype is an Equal Opportunities Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Monotype is expanding globally. Proficiency in one or more of the following languages is desirable (not mandatory) for this role: German, Japanese, French, Spanish

Monotype
Monotype
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