
Data Engineer
1 week ago
- Design, implement, and maintain data pipelines to ensure seamless flow of data from various sources to storage systems
- Work with large, complex datasets to ensure high performance, availability, and scalability of data systems
- Collaborate with data scientists, analysts, and other engineering teams to deliver insights and business value from structured and unstructured data
- Implement ETL (Extract, Transform, Load) processes to ensure accurate and efficient data processing
- Develop and optimize data infrastructure and architecture for efficient storage and retrieval
- Troubleshoot and resolve data issues, ensuring data integrity and accuracy
- Ensure compliance with data governance, security policies, and industry best practices
- Monitor and report on system performance, ensuring minimal downtime and maximum operational efficiency
- Continuously evaluate and improve data processes, infrastructure, and tools
- Proven experience (3+ years) as a Data Engineer or similar role in data management, processing, and analytics
- Experience with data modeling, ETL frameworks, and big data tools like Apache Hadoop, Spark, Kafka, etc
- Proficiency in programming languages such as Python, Java, Scala, or SQL
- Hands-on experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing
- Experience with data warehousing solutions and BI tools such as Snowflake, Redshift, or BigQuery
- Solid understanding of data pipeline automation, version control, and continuous integration/continuous deployment (CI/CD) best practices
- Strong analytical and problem-solving skills with attention to detail
- Ability to work in a fast-paced and collaborative environment
- Excellent communication skills, both verbal and written, to interact with technical and non-technical teams
- Ability to handle multiple tasks and deadlines effectively
- Willingness to learn new technologies and continuously improve technical skills
- Experience with data visualization and reporting tools is a plus (e.g., Tableau, Power BI)
- Knowledge of machine learning or data science concepts is a bonus
Mid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesIT Services and IT Consulting
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