Key Responsibilities
- Design and implement scalable, maintainable, and high-performance data pipelines
- to process large volumes of structured and unstructured data.
- Collaborate with cross-functional teams to identify data requirements and translate them into optimal technical solutions.
- Develop and maintain ETL processes, ensuring data accuracy, completeness, and timeliness.
- Optimize and fine-tune data storage solutions, including databases, data lakes, and data warehouses, for efficient query performance.
- Conduct data modelling and generate insightful reports that inform stakeholders and drive business decisions.
- Build and drive the adoption of machine learning capabilities across the organization.
- Implement and enforce data governance policies and best practices to ensure data quality and security.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 1-3 years of experience in data engineering or a similar role.
- Strong programming skills in SQL and Python languages.
- Expertise in big data technologies such as Hadoop, Spark, Kafka, and Flink.
- Experience with SQL and NoSQL databases, such as PostgreSQL, MongoDB, and Cassandra.
- Experience in building machine learning models and their operations.
- Exceptional problem-solving and critical reasoning skills.
- Strong data analysis and statistics fundamentals.
- Excellent communication and collaboration abilities
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