Description :

About the Role :

We are looking for a skilled Data Engineer to design, build, and maintain efficient and scalable data pipelines that support business intelligence, analytics, and data science initiatives.

You will work closely with cross-functional teams to ensure reliable data flow, quality, and accessibility across multiple platforms.

Key Responsibilities :

- Design, develop, and maintain scalable ETL/ELT pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.

- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and provide timely solutions.

- Build and optimize data warehouses, data lakes, and databases to support analytics and reporting needs.

- Ensure data quality, integrity, and security by implementing validation checks and monitoring.

- Work with cloud platforms and big data technologies to support distributed data processing.

- Develop automated scripts and tools to facilitate data integration and deployment processes.

- Troubleshoot and resolve data issues and optimize performance of data systems.

- Document data flows, architecture, and operational procedures.

- Stay updated with emerging technologies and best practices in data engineering.

Required Qualifications :

- Bachelors degree in Computer Science, Information Technology, Engineering, or related field.

- 5+ years of experience in data engineering or software development.

- Proficiency in SQL and experience with relational databases.

- Experience with programming/scripting languages such as Python, Java, or Scala.

- Familiarity with ETL tools and frameworks.

- Knowledge of big data technologies like Hadoop, Spark, or Kafka is a plus.

- Experience working with cloud platforms such as AWS, Azure, or Google Cloud.

- Strong problem-solving skills and attention to detail.

- Good communication and teamwork skills