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Senior Data Engineer

1 month, 3 weeks 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
Apply Now
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 28

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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