Data Engineer
1 month ago
Job Description :
Role & Responsibilities :
- Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse
- Optimize and tune SQL queries for improved performance and efficiency
- Collaborate with data scientists, analysts, and product managers to understand data requirements and deliver high-quality data solutions
- Implement data quality checks and monitoring systems to ensure data accuracy and reliability
- Develop and maintain documentation for data models, ETL processes, and data flows
- Work with BI tools to create and optimize dashboards and reports for business users
- Participate in data governance initiatives and ensure compliance with data privacy regulations
- Continuously evaluate and implement new technologies and best practices in data engineering
Ideal Candidate :
- Bachelor's degree in computer science, Information Systems, or a related field
- Minimum of 4 years of experience as a Data Engineer or in a similar role
- Expert-level proficiency in SQL, including complex queries, stored procedures, and performance tuning
- Strong experience with data warehousing concepts and techniques
- Proficiency in working with BI tools such as Tableau, Power BI, or Looker
- Experience with ETL tools and processes (e.g., Apache Airflow, Talend, or custom ETL pipelines)
- Solid understanding of data modeling techniques (e.g., dimensional modeling, star schema)
- Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, or Azure Synapse)
- Experience with version control systems (e.g., Git) and CI/CD practices
- Strong problem-solving skills and attention to detail Preferred Qualifications
- Experience with big data technologies (e.g., Hadoop, Spark)
- Knowledge of programming languages such as Python, Java, or Scala
- Familiarity with data streaming technologies (e.g., Kafka, Apache Flink)
- Experience with NoSQL databases (e.g., MongoDB, Cassandra)
- Understanding of machine learning concepts and their data requirements
- Certifications in relevant technologies or platforms
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