Senior Big Data Backend Engineer

Must Have

- 6+ years of experience in the fields of software engineering (backend)

- 3+ years of experience using cloud-based platforms such as GCP, AWS, Azure, or similar technologies

- 2+ years of hands-on experience in managing and optimizing Big Data ecosystems such as Spark, Hadoop/MR, Kafka

- Excellent communication and collaboration skills and experience working with a remote, global team.

- Have a passion for building large-scale distributed systems and are comfortable writing maintainable, extensible, scalable, and high-performance code.

- Proficient in one or more compiled languages, preferably Java, Scala, and Go.

-1+ years of experience in Observability, such as distributed tracing, service level indicator, Service level objective, and service level Agreement.

-Bachelor's or Master's of Science in Computer Science, Information Systems or related degree

-Familiar with OOD and OOA

-Track record of leading and delivering large-scale, cross-team, cross-functional projects. Enjoy collaborating on an agile development team and have empathy for teammates and customers.

-Comfortable evaluating and adapting to the latest tools and technologies.

Must Have:

-Experience designing and implementing standard/common event systems.

-Experience designing and deploying high-performance systems with reliable monitoring and logging practices.

-Strong technical knowledge of cloud infrastructure, distributed systems, and reliability practices

-Experience with a real-time distributed database such as SingleStore (Memory database)

-Experience with GCP products such as BigTable, BigQuery, Dataproc, PubSub, or other data tools like Spark, Kafka, Hive, or Apache Beam

-Experience with development tools such as Terraform, Kubernetes, Helm, or Gradle

-Experience with designing and implementing interfaces and infrastructure for large-scale systems and RESTful APIs

DA Skillset (Required for the Data Analyst Role): Must Have

-Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and

mastery in data analysis languages, including SQL, Python.

-Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and

thoroughness.

-Capable of critically evaluating data to derive meaningful, actionable insights.A bachelor's degree in Computer Science,

Information Management, Statistics, or a comparable discipline is required, with prior experience in data analysis or a

related field being advantageous.

Primary Focus:

Should candidates prioritize expertise in distributed systems design, big

data optimization, or data analytics? Prioritize distributed systems design

and big data optimization over data analytics