Posted on: 05/01/2026
Data Engineer (3-8 yrs)
- Build and optimize data models for data warehousing and data lake solutions.
- Implement data quality checks and monitoring systems to ensure data accuracy and consistency.
- Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions.
- Develop and maintain documentation for data pipelines, data models, and data quality processes.
- Stay up-to-date with the latest trends and technologies in data engineering.
- Contribute to the development of data engineering best practices and standards.
- Automate data processing tasks and improve the efficiency of data pipelines.
- Work with cloud-based data platforms (e.g., AWS, Azure, GCP).
- Implement data security and privacy measures to protect sensitive data.
- Experience : 3-8 years of experience in data engineering.
- Strong understanding of data warehousing concepts and principles.
- Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Experience with ETL tools and technologies (e.g., Apache Spark, Apache Kafka, Apache Airflow, Informatica, Talend).
- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
- Experience with data modeling and data schema design.
- Strong programming skills in Python or Java.
- Experience with data quality and data governance practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Experience with machine learning pipelines.
- Experience with DevOps practices and tools.
- Experience with big data technologies (e.g., Hadoop, Hive, Pig).
- Opportunity to work on challenging and impactful projects.
- Collaborative and supportive work environment.
- Opportunities for professional development and growth.
Did you find something suspicious?
Posted by
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1597401