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Data Engineer

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  • Posted 2 days ago
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Job Description

  • Design, build, and maintain scalable, secure data pipelines and storage systems; ensure data quality through ETL processes and regular checks.
  • Implement policies and practices to control, optimize, and secure data assets, ensuring data integrity and accessibility.
  • Develop and maintain data models, structures, and databases to meet business needs; communicate data architecture effectively.
  • Develop, test, and maintain scripts and programs to automate data processing and pipelines, adhering to industry standards.
  • Create and operationalize data visualization solutions to simplify complex data for stakeholders and decision-making.
  • Work with cross-functional teams to gather data requirements, optimize existing processes, and deliver ad hoc reports and insights

Minimum Qualifications

  • Education – At least graduate with a Bachelor's or Master's Degree in IT, Computer Science, Engineering, or any related course.
  • Related Work Experience – at least 5 years of experience in data engineering, data analytics, or related fields.
  • Proficiency in Python and Java, with experience in other programming languages as a plus.
  • Hands-on experience with data manipulation tools (e.g., pandas, dplyr, or Spark).
  • Proficiency in Extract, Transform, and Load (ETL) processes for efficient data pipeline management.
  • Expertise in both SQL and NoSQL query languages for database interaction and management.
  • Experience with big data storage and processing solutions, such as MongoDB, Spark, Hive, Snowflake, Redshift, or similar technologies.
  • Experience with cloud-based or server-based data processing environments (e.g., AWS, Azure, GCP).

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Job ID: 149035453

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