Senior Software Engineer
2 months ago
Job Description :
Key Responsibilities :
Design and Development :
- Architect, design, and develop scalable and high-performance data platforms.
- Implement data ingestion, transformation, and processing pipelines using technologies such as Apache Kafka, Hadoop, Spark, and Flink.
- Develop real-time data processing and stream processing applications.
Data Management :
- Manage and optimize databases including MySQL, MongoDB, and Cassandra.
- Ensure data quality, integrity, and security across various data sources.
- Implement data governance and compliance measures.
Performance Optimization :
- Monitor and tune the performance of data platforms and pipelines.
- Troubleshoot and resolve data processing issues and bottlenecks.
- Implement best practices for data storage, processing, and retrieval.
Collaboration :
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements.
- Collaborate with DevOps teams to ensure continuous integration and deployment of data applications.
- Provide technical leadership and mentorship to junior engineers.
Innovation and Improvement :
- Stay updated with the latest trends and technologies in big data and data engineering.
- Propose and implement innovative solutions to enhance data platforms and services.
- Continuously improve data infrastructure and processes for scalability and efficiency.
Required Qualifications :
Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Experience : 6 to 9 years of experience in big data engineering, data architecture, or a related field.
Technical Skills :
- Proficiency in big data technologies such as Apache Kafka, Hadoop, Spark, Flink, and related tools.
- Strong experience with SQL and NoSQL databases like MySQL, MongoDB, and Cassandra.
- Proficiency in scripting languages such as Python, JavaScript, Bash, and PHP.
- Experience with data pipeline tools and frameworks.
- Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
Soft Skills :
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.
- Leadership and mentorship abilities.
Preferred Qualifications :
- Experience with data warehousing solutions such as Redshift, BigQuery, or Snowflake.
- Familiarity with machine learning frameworks and tools.
- Experience with CI/CD pipelines and DevOps practices.
- Certification in relevant big data technologies or cloud platforms
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