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Data Engineer
2 weeks ago
Job Summary :
We are seeking a skilled and motivated Data Engineer to design, develop, and maintain our data infrastructure. The ideal candidate will have a strong background in data engineering, a passion for working with large datasets, and the ability to transform data into actionable insights. As a Data Engineer, you will collaborate with cross-functional teams to ensure data integrity, availability, and security.
Key Responsibilities :
- Design, develop, and maintain scalable data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources.
- Develop and optimize data models and database structures to support efficient data storage and retrieval.
- Implement data quality checks and monitoring to ensure data accuracy and consistency.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver reliable data solutions.
- Integrate data from multiple sources, including APIs, databases, and third-party platforms.
- Ensure data security and compliance with relevant regulations and best practices.
- Develop and maintain documentation related to data pipelines, data models, and ETL processes.
- Troubleshoot and resolve data-related issues and performance bottlenecks.
Qualifications :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Strong programming skills in Python.
- Hands-on experience with PySpark for large-scale data processing.
- Experience with AWS cloud platform and its data services (e.g., S3, Redshift, EMR, RDS).
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
- Experience with ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica).
- Knowledge of data modeling, data architecture, and data governance principles.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
Preferred Qualifications :
- Experience with NoSQL databases (e.g., MongoDB, Cassandra).
- Knowledge of machine learning frameworks and tools.
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
Benefits :
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Flexible working hours and remote work options.
- Professional development opportunities and training programs.
- Friendly and collaborative work environment.
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