
Chief Data Platform Developer
2 days ago
The senior data engineer will play a key role in developing and maintaining the organization's data platforms. This individual will be responsible for designing, deploying, and maintaining data systems to meet business objectives.
Main Responsibilities:
- Review and analyze existing data collection systems, identifying areas for improvement and implementing enhancements to meet service-level agreements (SLAs).
- Supervise junior data engineering teams to ensure they execute their duties in line with the company's goals.
- Design, deploy, and maintain the organization's data platforms.
- Collaborate with clients to understand their data-related needs, providing recommendations and delivering solutions that meet their requirements and expectations.
Key Skills and Qualifications:
- Proficient in cloud platforms such as AWS, Azure, or Google Cloud Platform for deploying and managing data solutions in the cloud.
- Strong expertise in building and optimizing ETL processes to efficiently move and transform data between various systems and storage solutions.
- Knowledge of data warehousing concepts and experience working with data warehouse solutions like Amazon Redshift, Snowflake, or Google BigQuery.
- Extensive understanding of Python and advanced SQL, with the ability to create efficient queries.
- Familiarity with big data technologies such as Apache Hadoop, Apache Spark, and related tools for processing and analyzing large volumes of data.
- Experience in managing and optimizing relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Soft Skills:
- Skilled in handling multiple projects simultaneously.
- Excellent communication skills, both verbal and written.
- Leadership qualities to guide and mentor junior team members, contributing to their professional development.
- Strong analytical and problem-solving skills to address challenges and troubleshoot issues in data engineering processes.
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