Hybrid Senior Data Engineer

Posted last month

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About the role

  • Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
  • Build and optimize data warehouses, data lakes, and real-time streaming systems.
  • Partner with product, engineering, and analytics teams to understand data needs and deliver reliable solutions.
  • Ensure data integrity, governance, security, and compliance across systems.
  • Monitor, troubleshoot, and optimize data infrastructure for performance and cost efficiency.
  • Mentor junior engineers and contribute to best practices and standards across the data team.
  • Stay current with industry trends, tools, and emerging technologies in big data and cloud computing.

Requirements

  • 4+ years of experience in data engineering or similar roles.
  • Strong proficiency in SQL and at least one programming language (Python, Scala, or Java).
  • Experience with data pipeline creation, orchestration & data processing frameworks (AirByte, AirFlow, DBT/DataForm, Apache Spark, etc.)
  • Hands-on expertise with cloud platforms.
  • Experience with big data technologies.
  • Knowledge of data modeling, warehousing (BigQuery) and database design.
  • Strong understanding of data governance, security, and compliance.
  • Excellent problem-solving, communication, and collaboration skills.
  • Experience in the fintech is a plus.
  • Familiarity with machine learning pipelines and MLOps is a plus.
  • Contribution to open-source data engineering projects.
  • Familiarity with code version control and deployment & monitoring strategies

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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