Data Engineer

4 weeks ago


Chennai, Tamil Nadu, India Zemoso Technologies Full time

Job Title: Data Engineer

Experience: 3+ Years of experience in data pipelines.

Location: Chennai/Mumbai

Work type: Hybrid

Job Type: Full-time

Key Responsibilities:

  • Python Proficiency:
    • Develop and maintain data engineering solutions using Python programming language.
  • Data Engineering Expertise:
    • Establish efficient data pipelines with smooth data flow and integration across systems.
    • Contribute to the establishment and maintenance of Data Lakes, implementing industry best practices.
    • Execute data scrubbing techniques and implement data validation processes for data integrity and quality.
  • Machine Learning Integration:
    • Integrate classic ML and LLM models.
    • Participate in model updates and validation, enhancing machine learning algorithms.
  • Tool and Platform Proficiency:
    • Experience with PySpark and/or Data Bricks platform is required.
    • Expertise in at least one popular tool/platform within the data engineering domain is beneficial.
  • Collaboration and Communication:
    • Collaborate with cross-functional teams including data scientists, software engineers, and business analysts.
    • Communicate technical concepts to non-technical stakeholders, fostering collaboration and innovation.
  • Documentation and Best Practices:
    • Maintain comprehensive documentation for data engineering processes.
    • Adhere to best practices in data engineering, promoting a culture of quality and efficiency.

Must-Have Skills:

  • Bachelor's or Master's degree: In Computer Science, Data Science, or a related field.
  • Minimum experience: 3 years as a Data Engineer.
  • PySpark experience:
  • Strong Python proficiency:
  • Data pipeline management experience: Including data lakes and classic Machine Learning models.
  • Familiarity with data engineering tools: At least one popular tool/platform (Kafka, Airflow, Snowflake, etc.).

Nice-to-Have Skills:

  • Cloud-based data platforms: Exposure to AWS/Azure/GCP.
  • Big data technologies: Basic knowledge of Hadoop or Spark.
  • Containerization tools: Familiarity with Docker or Kubernetes.
  • Data visualization tools: Interest in Tableau, PowerBI, etc.
  • Certifications: Relevant data engineering or machine learning technologies.

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