Data Engineer
4 weeks ago
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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