Venon Solutions is seeking a Data Engineer to design and develop scalable data pipelines. The role involves collaborating with data scientists and DevOps teams to ensure secure and efficient data handling and storage solutions.
Responsibilities:
- Designing and developing scalable, efficient, and reliable data pipelines to extract, transform, and load data from various sources to a target system
- Responsible for ingesting data from various sources such as databases, files, APIs, or social media platforms using Python libraries like pandas, NumPy, and requests
- Designing and implementing data storage solutions using relational databases like MySQL or PostgreSQL, NoSQL databases like MongoDB or Cassandra, or big data stores like Hadoop or Spark
- Working closely with data scientists to understand their requirements and implement data pipelines that meet their needs
- Ensuring the security of the data pipeline by implementing access controls, encryption, and authentication mechanisms
- Working closely with DevOps teams to ensure smooth deployment of the data pipeline to production environments on Azure
Requirements:
- B2 English Level or higher
- +5 years of experience in a Data Engineering role
- +4 years of experience with Python
- Experience with Big Data tools such as Hadoop, Spark, Kafka, among others, is expected
- Proven experience with both relational SQL and NoSQL databases, such as PostgreSQL, Cassandra, or MongoDB
- Experience with Azure cloud services is a must
- Good communication skills