:

Candidates from Chennai are preferred for this role.

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.

● Solid 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.

📌 Data Engineer - On-site - Chennai
🏢 Numentica
📍 Chennai