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Senior Software Engineer, Data

Posted 2 days agoViewed

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💎 Seniority level: Senior, 6+ years

📍 Location: United States, Australia, Canada, South America

💸 Salary: 177000.0 - 213000.0 USD per year

🔍 Industry: FinTech

🏢 Company: Flex

🗣️ Languages: English

⏳ Experience: 6+ years

🪄 Skills: AWSPythonSQLBashDesign PatternsETLHadoopJavaKafkaSnowflakeAirflowAlgorithmsCassandraData engineeringData StructuresNosqlSparkCommunication SkillsCI/CDRESTful APIsTerraformWritten communicationDocumentationData modelingDebugging

Requirements:
  • A minimum of 6 years of industry experience in the data infrastructure/data engineering domain.
  • A minimum of 6 years of experience with Python and SQL.
  • A minimum of 3 years of industry experience using DBT.
  • A minimum of 3 years of industry experience using Snowflake and its basic features.
  • Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
  • Industry experience with different big data platforms and tools such as Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
  • Industry experience working with relational and NoSQL databases in a production environment.
  • Strong fundamentals in data structures, algorithms, and design patterns.
Responsibilities:
  • Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
  • Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling.
  • Closely collaborating with the Analytics team for data modeling, reporting, and data ingestion.
  • Create scalable real-time streaming pipelines and offline ETL pipelines.
  • Design, implement, and manage a data warehouse that provides secure access to large datasets.
  • Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Create engineering documentation for design, runbooks, and best practices.
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