Job description

Description: A Data Engineer designs and maintains data pipelines, warehouses, and systems for collecting, storing, and processing large volumes of data for analytics and decision-making purposes.

Responsibilities

  • Designing and implementing data architectures and pipelines for ingesting, processing, and transforming data.
  • Developing and maintaining data warehouse solutions using technologies like Apache Hadoop, Spark, or Snowflake.
  • Collaborating with data scientists and analysts to ensure data availability and quality for analysis.
  • Implementing data governance and security measures to protect sensitive information.
  • Monitoring and optimizing data infrastructure for performance, scalability, and cost efficiency.

Qualifications

  • Proficiency in programming languages like Python, SQL, or Scala.
  • Experience with big data technologies like Hadoop, Spark, Kafka, or Hive.
  • Knowledge of cloud data platforms like AWS, Azure, or Google Cloud.
  • Familiarity with data modeling, ETL (extract, transform, load) processes, and data warehousing concepts.
  • Previous experience in data engineering roles or related fields.

Benefits

  • Competitive salary and opportunities for career growth in the field of data engineering.
  • Exposure to diverse datasets and projects across industries.
  • Collaboration with cross-functional teams to build data-driven solutions.
  • Access to training and resources to enhance data engineering skills and expertise.
  • Contribution to the development of scalable and reliable data infrastructure.

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