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Senior Data Engineer

19 hours, 18 minutes ago
Latin America
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Azure Cassandra Databricks dbt Elasticsearch GCP Hadoop HDFS Java Kafka Luigi Python Scala Snowflake Solr SQL
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phData

phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services
251-1K
View All Jobs 26

Description

  • Develop end-to-end technical solutions and help deliver them into production.
  • Ensure solutions meet performance, security, scalability, and data integration needs.
  • Write, debug, and optimize SQL queries.
  • Create and deliver detailed presentations for clients and stakeholders.
  • Produce detailed solution documentation, including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.
  • Collaborate in client-facing work and communicate clearly in written and verbal English.
  • Support the full software development lifecycle, including design, implementation, testing, and deployment.

Requirements

  • 4+ years of experience as a Software Engineer, Data Engineer, or Data Analyst.
  • Programming experience in Java, Python, and/or Scala.
  • Experience with core cloud data platforms such as Snowflake, AWS, Azure, Databricks, and GCP.
  • Strong SQL skills with the ability to write, debug, and optimize queries.
  • Client-facing English written and verbal communication experience.
  • Ability to create and deliver detailed presentations.
  • Experience creating detailed solution documentation.
  • Bachelor’s degree in Computer Science or a related field.
  • Preferred experience in production environments on Snowflake, AWS, Azure, GCP, Hadoop, or Databricks.
  • Preferred experience with cloud and distributed data storage such as S3, ADLS, HDFS, GCS, Kudu, Elasticsearch/Solr, Cassandra, or other NoSQL systems.
  • Preferred experience with data integration tools and technologies such as Spark, Kafka, StreamSets, Matillion, Fivetran, NiFi, AWS DMS, Azure Data Factory, Informatica IICS, or Google DataProc.
  • Preferred experience working with multiple data sources such as queues, relational databases, files, search, and APIs.
  • Preferred full SDLC experience including design, documentation, implementation, testing, and deployment.
  • Preferred experience with automated data transformation and curation tools such as dbt, Spark, Spark streaming, and automated pipelines.
  • Preferred experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, or NiFi.

Interested in this position?

Apply directly on the company website

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