
Data Engineering Expert
5 days ago
We are seeking an experienced Data Engineering Expert to design and implement scalable data solutions that drive business insights and decision-making.
Key Responsibilities:- Design, develop, and maintain robust data pipelines and architectures.
- Optimize data flows and processes for high performance and reliability.
- Collaborate with data scientists and analysts to understand data needs and provide effective solutions.
- Implement data quality checks and monitoring to ensure data integrity.
- Work with big data technologies like Hadoop, Spark, and Kafka.
- Integrate data from various sources including databases, APIs, and third-party services.
- Participate in code reviews and contribute to team best practices and standards.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 6-9 years of experience in data engineering or a related role.
- Strong expertise in developing data processing jobs and ETL pipelines using PySpark.
- Familiarity with Google Cloud Platform (GCP) and its services such as BigQuery, Dataflow, Dataproc.
- Hadoop Ecosystem expertise, including Hadoop, Hive, and related big data tools.
- AWS knowledge, particularly with AWS data services like S3, EMR, Glue, and Redshift.
- Excellent SQL and data modeling skills.
- Good opportunity to work on challenging projects and gain industry exposure.
- Collaborative and dynamic work environment.
- Promotion opportunities based on individual performance.
- Experience with CI/CD tools and DevOps practices (Jenkins, GitLab, Terraform).
- Containerization and orchestration knowledge (Docker, Kubernetes).
- Infrastructure as Code (IaC) expertise.
- Data governance and data security best practices knowledge.
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