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Osfin - Data Platform Engineer (5-7 yrs)
Osfin.ai
posted 19hr ago
Fixed timing
Key skills for the job
Job Description :
Responsibilities :
- Design and implement scalable and reliable data platform architectures, including data lakes, data warehouses, and data pipelines.
- Evaluate and select appropriate technologies and tools for data ingestion, storage, processing, and analysis.
- Define and enforce data governance and security policies.
- Build and maintain robust and efficient data pipelines for batch and real-time data processing.
- Develop and optimize ETL/ELT processes using tools like Apache Spark, Airflow, Kafka, or similar technologies.
- Implement data quality checks and monitoring to ensure data accuracy and consistency.
- Manage and maintain cloud-based data infrastructure (e.g., AWS, Azure, GCP), including provisioning, monitoring, and optimization.
- Ensure high availability and disaster recovery for the data platform.
- Monitor and optimize the performance of data pipelines and infrastructure.
- Troubleshoot and resolve data-related issues, including performance bottlenecks and data quality problems.
- Conduct performance testing and capacity planning.
Qualifications :
Experience :
- 5+ years of experience in data platform engineering or related roles.
- Proven experience in designing and building scalable data platforms.
- Extensive experience with cloud-based data infrastructure (AWS, Azure, or GCP).
- Proficiency in SQL and at least one programming language (Python, Java, Scala).
- Strong understanding of data warehousing and data lake concepts.
- Experience with ETL/ELT tools and technologies (e.g., Apache Spark, Airflow, Kafka, Flink, Dataflow, Glue).
- Experience with cloud-based data services (e.g., Redshift, BigQuery, Snowflake, Databricks, Azure Synapse).
- Experience with data governance and security practices.
- Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus.
- Experience with CI/CD pipelines is a plus.
Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Preferred Qualifications :
- Contributions to open-source data projects.
- Relevant certifications (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
Functional Areas: Other
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