Description

You will architect, develop, and maintain ETL/ELT pipelines and data workflows.

Responsibilities

• Build and optimize data models for analytics and reporting.
• Integrate data from diverse sources including databases, APIs, and streaming platforms.
• Implement best practices for data quality, governance, and security.
• Collaborate with analysts, data scientists, and business teams to deliver solutions.
• Optimize performance of data storage and processing systems.

Required Skills

• 9+ years of experience in data engineering or a related field.
• Strong expertise in SQL.
• Proficiency in Python, Java, or Scala.
• Hands-on experience with AWS Redshift, Snowflake, GCP BigQuery, or Azure Synapse.
• Experience with distributed data processing using Apache Spark, Kafka, or Flink.
• Solid understanding of data warehousing concepts and dimensional modeling.
• Familiarity with CI/CD, Git, and containerization using Docker or Kubernetes.
• Any Graduate degree.

Preferred Skills

• Experience with orchestration tools such as Airflow or dbt.
• Knowledge of data security and compliance including GDPR and CCPA.

Key Skills

Education

Any Gradute