Were looking for a Senior Backend Data Engineer to design and optimize high-performance infrastructure capable of handling massive data volumes. In this role, youll lead backend development, architect scalable data pipelines, and ensure seamless data processing. Your expertise in distributed systems and performance optimization will drive innovation, transforming intricate security challenges into efficient, resilient solutions.
Responsibilities
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise to create robust backend solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.
Responsibilities
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise to create robust backend solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.
Requirements:
5+ years of experience in server-side development using Java, Python, Go, or .NET.
Strong background in microservices architecture and related tools (Docker, Kubernetes, etc.).
Hands-on experience with large-scale applications, handling high data volumes and intensive traffic.
Proficiency with various database technologies such as MySQL, Cassandra, Neo4J, Google BigQuery, Amazon Redshift, Elasticsearch, and PostgreSQL.
Solid understanding of message queuing, stream processing, and scalable big data storage solutions.
Experience in building and optimizing data pipelines and analytics workflows.
Familiarity with streaming technologies such as Amazon Kinesis and Apache Kafka.
Proven ability to bootstrap projects and develop systems from the ground up.
Strong ownership and leadership skills, with a track record of driving initiatives forward.
Advantages:
Experience in cybersecurity.
Hands-on expertise in Go development.
Familiarity with graph databases and data modeling.
Experience with data warehouse technologies like Snowflake and Databricks.
Knowledge of Big Data ecosystems, including Hive, Hadoop, or Spark.
Background in startup or small-company environments, thriving in fast-paced, dynamic settings.
5+ years of experience in server-side development using Java, Python, Go, or .NET.
Strong background in microservices architecture and related tools (Docker, Kubernetes, etc.).
Hands-on experience with large-scale applications, handling high data volumes and intensive traffic.
Proficiency with various database technologies such as MySQL, Cassandra, Neo4J, Google BigQuery, Amazon Redshift, Elasticsearch, and PostgreSQL.
Solid understanding of message queuing, stream processing, and scalable big data storage solutions.
Experience in building and optimizing data pipelines and analytics workflows.
Familiarity with streaming technologies such as Amazon Kinesis and Apache Kafka.
Proven ability to bootstrap projects and develop systems from the ground up.
Strong ownership and leadership skills, with a track record of driving initiatives forward.
Advantages:
Experience in cybersecurity.
Hands-on expertise in Go development.
Familiarity with graph databases and data modeling.
Experience with data warehouse technologies like Snowflake and Databricks.
Knowledge of Big Data ecosystems, including Hive, Hadoop, or Spark.
Background in startup or small-company environments, thriving in fast-paced, dynamic settings.
This position is open to all candidates.
