Data Engineer

0 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title:

Job Type:

About the Role:

Data Engineer

If you enjoy working with big data technologies, solving complex data problems, and building systems that scale, this opportunity is perfect for you.


Key Responsibilities:

  • Design, develop, and maintain robust data pipelines and ETL workflows
  • Build and manage scalable data architectures and cloud-based infrastructure
  • Ensure data accuracy, completeness, consistency, and governance
  • Collaborate with analytics and engineering teams to understand data needs
  • Optimize performance of data systems, queries, and storage solutions
  • Implement data quality monitoring and alerting systems
  • Create and maintain comprehensive documentation for data workflows and schemas
  • Stay up-to-date with the latest trends in data engineering and cloud technologies

Requirements:

  • Proven experience as a Data Engineer or in a similar data infrastructure role
  • Strong programming skills in languages such as

    Python

    ,

    Java

    , or

    Scala

  • Proficient in

    SQL

    and experienced with

    relational (PostgreSQL, MySQL)

    and

    NoSQL (MongoDB, Cassandra)

    databases
  • Experience with data processing frameworks like

    Apache Spark,Hadoop

    ,

    Kafka

    , or

    Flink

  • Hands-on experience with cloud platforms such as

    AWS

    ,

    Google Cloud Platform

    , or

    Azure

  • Familiarity with modern data warehousing tools (e.g.,

    Snowflake

    ,

    Redshift

    ,

    BigQuery

    )
  • Experience with orchestration tools like

    Airflow

    ,

    Luigi

    , or

    Prefect

  • Understanding of data security, privacy, and compliance practices (e.g., GDPR, HIPAA)
  • Strong problem-solving skills and attention to detail
  • Bachelor’s degree in Computer Science, Engineering, or a related field

Preferred Qualifications:

  • Experience with CI/CD pipelines and version control (Git)
  • Exposure to machine learning pipelines and model deployment
  • Advanced certifications in cloud or big data platforms

What We Offer:


  • Exposure to high-impact projects and scalable data systems
  • Collaborative and innovation-driven work environment
  • Opportunities for continuous learning and career growth
  • Supportive, diverse, and globally distributed team


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