
Data Engineer Role
1 day ago
As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining data pipelines that ensure seamless data flow from various sources to storage systems. Your role will involve working with large complex datasets to achieve high performance, availability, and scalability of data systems.
Data Engineering Focus- You will implement ETL processes for efficient data processing, develop and optimize data infrastructure and architecture for efficient storage and retrieval, and troubleshoot and resolve data issues ensuring data integrity and accuracy.
- You should have experience working with big data tools like Apache Hadoop, Spark, Kafka, etc., and familiarity with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing.
- Hands-on experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) is essential. You should also have experience with data warehousing solutions and BI tools such as Snowflake, Redshift, or BigQuery.
- Knowledge of machine learning or data science concepts is highly desirable.
- A solid understanding of data pipeline automation, version control, and continuous integration/continuous deployment (CI/CD) best practices is required.
- You will collaborate with data scientists, analysts, and engineering teams to deliver insights and business value from structured and unstructured data.
- This position requires strong analytical and problem-solving skills with attention to detail, the ability to work in a fast-paced and collaborative environment, and excellent communication skills to interact with technical and non-technical teams.
- Proven experience (3+ years) as a Data Engineer or similar role in data management, processing, and analytics is essential.
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