We are seeking a
Data Engineer
who is passionate about building robust and scalable data systems. You will design, develop, and maintain data pipelines, ensuring data is clean, accessible, and optimized for analytical and operational use across the company.
Responsibilities
- Design, build, and maintain data pipelines to extract, transform, and load data from various sources.
- Develop and manage data architecture to ensure scalability and reliability.
- Clean, process, and optimize data for analysis, reporting, and machine learning purposes.
- Integrate data from APIs, databases, and third-party platforms into internal systems.
- Optimize query performance and data storage to support business needs efficiently.
- Ensure data security and compliance with relevant regulations (e.g., GDPR, HIPAA).
- Collaborate with cross-functional teams — Data Analysts, Data Scientists, and Software Engineers — to understand and support data needs.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Minimum 1-3 years of experience in a data engineering or related role
- Experience with ETL tools such as (Apache Nifi, Talend, or Informatica).
- Proficiency in programming languages such as Python, SQL, and Java.
- Knowledge of relational and non-relational databases such as MySQL, PostgreSQL, MongoDB, and Cassandra. Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
- Experience with big data tools like Hadoop, Spark, or Kafka.
- Ability to analyze and solve complex data-related problems
- Contract 6 month