Job Description

Responsibilities:
  • Design, develop, and maintain scalable ETL pipelines to process and transform large-scale datasets.
  • Integrate structured and unstructured data from multiple sources, ensuring quality, security, and consistency.
  • Collaborate with data scientists, analysts, and software engineers to deliver well-structured and accessible datasets.
  • Build and optimize data infrastructure using big data technologies such as Apache Spark, Hadoop, and Kafka.
  • Deploy and manage cloud-based data solutions on AWS, GCP, or Azure.
  • Monitor and troubleshoot data pipeline performance, ensuring reliability and efficiency.
  • Implement data governance, security, and compliance best practices.
  • Drive automation, testing strategies, and continuous improvements in data engineering workflows.

Qualifications:
  • 5 years of related experience with a Bachelor’s degree or equivalent work experience.
  • Advanced proficiency in SQL and experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.).
  • Strong programming skills in Python, Java, or Scala for data processing and automation.
  • Deep expertise in ETL processes, data modeling, and data warehousing.
  • Hands-on experience with big data frameworks such as Apache Spark, Hadoop, or Kafka.
  • Proficiency in cloud platforms (AWS Redshift, Google BigQuery, Azure Synapse) and data infrastructure automation.
  • Experience optimizing data pipeline performance and scalability.
  • Strong problem-solving skills with the ability to work on complex, large-scale datasets.
  • Knowledge of data governance, security, and compliance best practices.
  • Excellent leadership, collaboration, and communication skills to work effectively across teams.



Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Chennai ,Tamil Nadu
Company Website: http://www.numentica.com Job Function: Data Science & AI
Company Industry/
Sector:
IT Services and IT Consulting

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