Data Engineer

Our client, a leading IT company seeking mid-senior level Data Engineers to design and maintain scalable data pipelines and infrastructure that support analytics, AI initiatives, and enterprise data driven solutions across cloud and on premise environments.

• Build and maintain scalable ETL/ELT pipelines and distributed data processing workflows
• Manage data warehouses, data lakes, and streaming platforms while ensuring performance, scalability, and reliability
• Integrate and transform data from APIs, databases, flat files, and real-time streaming sources
• Implement data governance, validation, monitoring, and security best practices across the data ecosystem
• Collaborate with data scientists, ML engineers, and business teams to deliver reliable and accessible datasets

• Minimum 5 years of experience in data engineering or large-scale backend data systems
• Strong experience with Apache Spark
  , Hadoop, Flink, SQL/No
  
  SQL databases, and data warehousing solutions such as Snowflake or Big Query
• Proficiency in Python, SQL, Bash scripting
  , ETL/ELT development, and API-based integrations
• Familiarity with Kafka, Kinesis, CI/CD pipelines, and Dev Ops practices
• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field

• Strong analytical thinking and troubleshooting capabilities
• Excellent communication and collaboration skills
• High attention to detail with a strong quality mindset
• Ability to work effectively in fast-paced and cross-functional environments
• Strong ownership, reliability, and continuous improvement mindset

If you’re passionate about building scalable data platforms and solving complex engineering challenges in a fast-paced environment, we encourage you to apply today!