Openings: 1
Type: Full time
Deadline: Dec. 18, 2025
Key Responsibilities:
- Design, implement, and optimize large-scale data pipelines and architectures that support both real-time and batch processing needs.
- Lead and mentor a team of data engineers, providing technical guidance and fostering a collaborative team culture.
- Work with data analysts, and business stakeholders to create efficient data models and structures for analytics, ensuring performance, scalability, and security.
- Partner with cross-functional teams to understand business requirements and translate them into data solutions that drive insights and decisions.
- Write clean, maintainable, and efficient code, with a focus on automation, scalability, and performance. Implement and enforce best practices for code reviews, version control, and continuous integration.
- Ensure data privacy, security, and compliance with internal and external policies and regulations.
Skills & Qualifications:
- Strong experience in SQL, Python. Familiarity with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery) and ETL tools (e.g., Apache Airflow, Talend, Fivetran).
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Knowledge of cloud-based platforms (AWS, Google Cloud, Azure) and associated data services.
- Experience with Hadoop, Spark, Kafka, or other big data technologies is a plus.
- Strong understanding of relational databases, data modeling concepts, and designing data architectures.
- Ability to analyze complex data sets and identify trends, correlations, and insights.
- Excellent verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
Experience:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (Master’s preferred).
- 5+ years of experience in data engineering or a related field, preferably in analytics or business intelligence.
- Strong experience working with large datasets and complex data pipelines.
- Previous experience in a similar industry or field is a plus.
Interested candidates are requested to send in their resume and expected salary to hrd@ycotek.com by 18 December, 2025.