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Data Engineer

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Ocean Blue Solutions

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions.

Job Responsibility:

  • Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data
  • Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem
  • Implement data validation and quality checks to ensure accuracy and consistency
  • Design and maintain data models, schemas, and database structures to support analytical and operational use cases
  • Optimize data storage and retrieval mechanisms for performance and scalability
  • Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services
  • Build and maintain integrations with internal and external data sources and APIs
  • Implement RESTful APIs and web services for data access and consumption
  • Ensure compatibility and interoperability between different systems and platforms
  • Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks
  • Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency
  • Implement data security controls and access management policies to protect sensitive information
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored solutions
  • Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation
  • Provide technical guidance and support to team members and stakeholders as needed
  • Collaborate with analysts and platform teams
  • participate in reviews, sprints, POCs, and reusable frameworks

Requirements:

  • Bachelor’s or master’s degree in computer science, Information Systems or related fields
  • Proven experience in data engineering, software development, or related roles
  • Proficiency in programming languages commonly used in data engineering (e.g., Python, PySpark, Java, Scala, etc.)
  • Strong knowledge of database systems, data modeling techniques, and SQL proficiency (e.g., Snowflake, MS Fabric, SQL Server, Oracle, Azure SQL)
  • Proficiency with ETL tools commonly used in data engineering (e.g., Informatica, Databricks, Azure Data Factory)
  • Experience with dashboard and reporting tools (e.g., Tableau, Power BI, Looker, etc.)
  • Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.)
  • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.)
  • Excellent problem-solving skills and attention to detail
  • Effective communication and collaboration skills in a team-oriented environment
  • Ability to adapt to evolving technologies and business requirements

Additional Information:

Job Posted:
March 04, 2026

Work Type:
Remote work
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