Engineer, Data Engineering

Description

You will be joining Azira, a global Consumer Insights platform, helping marketing and operational leaders improve their effectiveness with actionable intelligence to drive business results. Its mission is to create a more relevant world where brands are empowered to reach and build relationships with their consumers, but also give them the freedom and the tools to do so.

This role provides an opportunity to be a part of the Engineering team at Azira. You will get exposure to work on a huge scale of data, and cutting-edge tech stack, and leverage your skills to help us build a high-value and scalable product. You will be responsible for developing techniques to enhance data, You will need to collaborate with Data Scientists, SW Engineers, and UI Engineers and work as a part of a high-performance team and solve problems.

A Day in the Life

• Design and implement our data processing pipelines for different kinds of data sources, formats, and content for the Azira Platform. Working with huge Data Lakes, Data Warehouse and Data Marts are part of this challenging role.
• Design and develop solutions that are scalable, generic, and reusable.
• Responsible for collecting, storing, processing, and analyzing huge sets of data we receive from different sources.
• Develop techniques to analyze and enhance both structured/unstructured data and work with big data tools and frameworks.
• Collaborate closely with Data Scientists and Business Analysts to understand data and functional requirements.
• Design, build, and support existing data pipelines to standardize, clean, and ingest data.
• Participate in product design and development activities supporting Azira’s suite of products.
• Liaise with various stakeholders across teams to understand business requirements.

What You Bring to the Role

• Should hold a Bachelor’s/master’s degree in computer science or a related field.

• Must have 2-4 years of experience with at least 1 year of experience in a data-driven company/platform.
• Prior experience with distributed data processing frameworks such as Apache Spark, Apache Flink, or Hadoop is a must.
• Strong Proficiency in Java & Spark is essential, with additional experience in Scala being advantageous.
• Demonstrated teamwork is crucial, along with a flexible mindset in approaching problem-solving using the right tools and technologies, collaboratively with the team.
• Proficiency in frameworks, and distributed systems, strong algorithmic skills, and knowledge of design patterns are expected.
• An in-depth understanding of big data technologies and NoSQL databases (e.g., Kafka, HBase, Spark, Cassandra, MongoDB) is necessary.
• Additional experience with the AWS cloud platform, Spring Boot, and API development is a valuable plus.
• Exceptional problem-solving and analytical abilities, coupled with organizational skills and meticulous attention to detail, are essential traits.