Exciting Opportunity for Data Engineer
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We are seeking a skilled Data Engineer to join our team and help build and maintain data infrastructure. The successful candidate will be responsible for designing, building, and maintaining large-scale data systems, including data pipelines, data warehouses, and data lakes.
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The ideal candidate will have experience in designing and implementing scalable automated testing solutions using Ruby/Selenium-based frameworks, developing and maintaining data pipelines using tools such as Apache Beam, Apache Spark, and AWS Glue, and working with data architects to design and implement data models and data architectures.
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In addition to technical skills, the candidate should possess strong collaboration and communication skills, with the ability to work closely with data scientists, data architects, and other stakeholders to ensure that the entire data systems meet the needs of our business.
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This is a fully remote opportunity with the potential to become a permanent position. We offer a competitive compensation package, flexible work arrangements, and opportunities for growth and development.
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Key Responsibilities:
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* Design, build, and maintain large-scale data systems.
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* Design and implement data warehouses using tools such as Amazon Redshift, Google BigQuery, and Snowflake.
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* Develop and maintain data pipelines using tools such as Apache Beam, Apache Spark, and AWS Glue.
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* Work with data architects to design and implement data models and data architectures.
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* Collaborate with data scientists to develop and deploy machine learning models and data products.
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* Ensure data quality and integrity by developing and implementing data validation and data cleansing processes.
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* Collaborate with other teams to ensure that data systems meet the business's needs.
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* Stay up-to-date with new technologies and trends in data engineering and make recommendations for adoption.
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Qualifications:
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* 5+ years of experience in data engineering or a related field.
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* 2-4 years of experience in Ruby products, including Ruby on Rails framework.
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* 5+ years of experience with programming languages such as Python, Java, and Scala.
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* 3+ years of experience with data modeling and data architecture.
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* 3+ years of experience with data engineering tools such as Apache Beam, Apache Spark, AWS Glue, Amazon Redshift, Google BigQuery, and Snowflake.
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* Strong experience with data warehousing and data lakes.
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* Strong experience with data validation and data cleansing.
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* Strong collaboration and communication skills.
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* Bachelor's degree in Computer Science, Engineering, or a related field.
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Nice to Have:
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* Experience with machine learning and data science.
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* Experience with cloud-based data platforms such as AWS, GCP, or Azure.
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* Experience with containerization using Docker and Kubernetes.
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* Experience with agile development methodologies such as Scrum or Kanban.
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* Experience with data governance and data security.
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We thank all candidates in advance. Only selected candidates for interviews will be contacted.