
Chief Data Architect
2 days ago
Job Summary
We are seeking a highly skilled Data Engineer to join our team.
The ideal candidate will have experience in designing, developing, and maintaining robust data pipelines using tools like Apache Spark, Airflow, or similar.
Additionally, they will be responsible for building and optimizing data architectures on cloud platforms such as AWS, Azure, or GCP.
Key Responsibilities- Design and develop efficient data pipelines to meet business needs.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Maintain high-quality data by ensuring integrity, security, and reliability across all systems.
- Monitor and troubleshoot data pipeline performance and implement improvements.
- Stay up-to-date with industry trends and best practices for data governance and metadata management.
- Proficiency in SQL and programming languages like Python or Scala.
- Experience with big data technologies (e.g., Hadoop, Spark & Kafka).
- Familiarity with data modeling, warehousing, and performance tuning.
- Hands-on experience with Cloud data platforms (AWS Redshift, Azure Synapse & Google BigQuery).
- Certifications in cloud platforms or data engineering tools are a plus.
We are committed to creating a workplace where talented individuals can thrive and grow. If you are passionate about data engineering and want to make a difference, we encourage you to apply for this exciting opportunity.
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