Senior Data Engineer

at  NiX

POSITION OVERVIEW:

As a Data Engineer, you will play a crucial role in building and optimizing our data pipeline, which is central to our platform’s reliability and performance. You will be responsible for architecting and maintaining efficient data streams and integrating the latest technologies, with a particular focus on complex event processing (CEP), to support our strategic goals and build a robust data engineering ecosystem.

QUALIFICATIONS:

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• 3+ years of experience in data engineering or a similar role.
• Strong proficiency with AWS services such as Kinesis, Glue, Firehose, Lambda, and Redshift.
• Expertise in stream processing frameworks like Apache Flink and Kafka.
• Experience in designing and implementing Complex Event Processing (CEP) solutions for real-time data streams.
• Solid experience in programming with Kotlin; familiarity with Python or other programming languages is a plus.
• Demonstrated experience in developing, optimizing, and maintaining streaming data pipelines in large-scale environments.
• Proven ability to build, optimize, and maintain complex data pipelines that handle billions of events per month.
• Strong analytical and problem-solving skills with the ability to manage multiple complex projects and deadlines.
• Good communication skills, with the ability to work effectively within cross-functional teams, and experience with Agile project management methodologies.

PREFERRED SKILLS:

• Experience with cloud data infrastructure solutions in AWS.
• Expertise in distributed data processing frameworks such as Apache Spark or similar.
• Familiarity with OLAP databases such as Snowflake or Redshift.
• Knowledge of C#/.NET core or developing and maintaining specific data processing applications.
• Familiarity with data integration tools such as Metillion and experience with large-scale data environments.
• Ability to work collaboratively and adapt to dynamic project needs.

Please refer the Job description for details