What you'll do:

• 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 makes you a great fit:

• Must have 2-5 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.