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Data Engineer II

2 months, 1 week ago
India
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark CI/CD Java Kafka Kubernetes Python Scala Snowflake SQL
Apply Now
Zafin

Zafin

Zafin is a provider of relationship banking software solutions to the financial services industry. Their transformative solutions range from core modernization to innovative platforms in billing, analytics, and rates & fees to quote to cash, empowering...

Internet Software & Services
251-1K
Founded 2002
$47M raised
View All Jobs 4

Description

  • Design, build, and maintain scalable data pipelines for batch and real-time data processing.
  • Integrate data from diverse sources while ensuring reliability, scalability, and efficiency.
  • Design and implement optimized data models, warehouse schemas, and tables for analytics and reporting.
  • Manage and optimize data platforms and infrastructure such as Spark, Snowflake, Kafka, Airflow, and Kubernetes.
  • Ensure high availability, scalability, and fault tolerance of data systems.
  • Implement data validation frameworks, automated testing, monitoring systems, and alerting for data freshness, accuracy, and completeness.
  • Enforce data governance standards including access controls, data lineage, and compliance.
  • Ensure secure handling of sensitive data such as PII in line with regulatory requirements.
  • Optimize queries, partitioning strategies, file formats, and compute resources to improve performance and reduce costs.
  • Develop CI/CD pipelines, internal tools, reusable frameworks, and automation to improve engineering productivity.

Requirements

  • 5–8 years of experience in data engineering or a related field.
  • Strong programming skills in Python, Scala, or Java.
  • Advanced proficiency in SQL and data modeling concepts.
  • Hands-on experience with Apache Spark.
  • Hands-on experience with Snowflake or similar cloud data warehouses.
  • Hands-on experience with Kafka or other streaming platforms.
  • Hands-on experience with Airflow or similar orchestration tools.
  • Hands-on experience with Kubernetes.
  • Proven experience building both batch and real-time data pipelines.
  • Strong understanding of data quality, observability, and governance frameworks.

Benefits

  • Competitive salaries with annual bonus potential.
  • Generous paid time off.
  • Paid volunteering days.
  • Wellness benefits.
  • Robust opportunities for professional growth and career advancement.
  • Accommodation support for candidates with disabilities during the selection process.

Interested in this position?

Apply directly on the company website

Apply Now

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