SENIOR DATA ENGINEER

Job Overview:

The Senior Data Engineer plays a pivotal role in the design, development, and optimization of robust data pipelines and infrastructure that power AI-driven and data-intensive applications.

Responsibilities:

Data Architecture & Pipeline Development

  • Design, develop, and maintain scalable, efficient, and secure ETL (Extract, Transform, Load) pipelines.
  • Build real-time and batch data processing frameworks for AI, analytics, and business intelligence.
  • Optimize data storage, retrieval, and performance across structured and unstructured data sources.

Data Governance & Security

  • Implement data governance frameworks, ensuring data integrity, consistency, and compliance with security standards.
  • Monitor and enforce best practices for data privacy, encryption, and regulatory compliance (GDPR, CCPA, etc.).

Collaboration & Integration

  • Work closely with Data Scientists and Machine Learning Engineers to support AI model training, inference, and deployment.
  • Partner with DevOps teams to automate data workflows and ensure smooth integration with cloud platforms.
  • Act as a liaison between business stakeholders and technical teams, translating business needs into data solutions.

Performance Optimization & Monitoring

  • Continuously optimize data infrastructure for performance, reliability, and scalability.
  • Implement monitoring solutions to detect and resolve data pipeline issues proactively.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • 3+ years of experience in data engineering, including ETL pipeline development.
  • Expertise in SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.).
  • Proficiency in big data technologies such as Apache Spark, Kafka, and Hadoop.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and data warehousing (BigQuery, Snowflake, Redshift).
  • Strong knowledge of data orchestration tools (Airflow, Prefect, or similar).
  • Experience with data security best practices and compliance requirements.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
Apply Now