Data Engineer

About the Role

Build and maintain the robust data pipelines that power our analytics, machine learning models, and core business operations.

Responsibilities

• Design, construct, and test scalable data architectures.
• Develop ETL/ELT pipelines for massive datasets.
• Optimize database infrastructure for analytics usage.
• Ensure data quality, reliability, and security across clusters.

Requirements

• 4+ years of Data Engineering experience.
• Strong programming skills in Python or Scala.
• Expertise in distributed computing frameworks (Spark, Hadoop).
• Experience with cloud data warehouses (Snowflake, BigQuery).

Nice to Have

• Familiarity with Airflow or Prefect.
• Experience with streaming data tools like Kafka.

How to Apply

Send your resume to [email protected] with the subject line "Data Engineer – CA".

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