About the Role
We are seeking an experienced Big Data Engineer to design, build, and optimize large-scale data processing systems. This role focuses on handling high-volume data pipelines, enabling advanced analytics, and supporting data-driven decision-making. The ideal candidate brings deep technical expertise in distributed systems and a strong understanding of modern data architectures.
Key Responsibilities
* Design, develop, and maintain scalable big data pipelines and architectures
* Process and analyze large volumes of structured and unstructured data
* Build and optimize ETL/ELT workflows for data ingestion and transformation
* Collaborate with data scientists and analysts to support advanced analytics use cases
* Ensure data quality, integrity, and governance across platforms
* Optimize system performance, reliability, and scalability
* Implement data security and compliance best practices
* Document data processes, workflows, and system architectures
Required Qualifications
* Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
* Minimum 5+ years of experience in big data engineering or data platform development
* Strong proficiency in Python, Java, or Scala
* Hands-on experience with distributed data processing frameworks such as Hadoop and Spark
* Experience with ETL tools and data pipeline orchestration
* Strong understanding of data modeling, data warehousing, and database systems
* Experience working with large-scale datasets and high-throughput systems
Preferred Qualifications
* Experience with Amazon Web Services, Microsoft Azure, or Google Cloud Platform
* Familiarity with data lake and lakehouse architectures
* Experience with streaming technologies (e.g., Kafka, Flink)
* Knowledge of containerization and orchestration (Docker, Kubernetes)
* Experience with modern data tools (e.g., Airflow, dbt, Snowflake, Databricks)
Skills
* Big Data Processing & Distributed Systems
* Data Pipeline Development (ETL/ELT)
* Data Modeling & Warehousing
* Cloud Data Platforms
* Performance Optimization & Scalability
What We Offer
* Competitive, market-aligned compensation
* Opportunity to work on large-scale data platforms and cutting-edge technologies
* Career growth and continuous learning support
* Flexible working arrangements (role-dependent)
* Collaborative and innovation-driven environment
Equal Opportunity Statement
We are an equal opportunity employer. We are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration without regard to race, religion, gender, age, disability, or any other protected status.