Data Engineer
Skills
About This Role
Job Purpose
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.
Key Responsibilities
- 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
Job Requirements
- **Minimum 5 years of experience**
- in data engineering or large-scale backend data systems
- Strong experience with
Apache Spark
,
Hadoop, Flink, SQL/NoSQL
- databases, and data warehousing solutions such as Snowflake or BigQuery
- Proficiency in
Python, SQL, Bash scripting,
- ETL/ELT development, and API-based integrations
- Familiarity with
Kafka, Kinesis,
- CI/CD pipelines, and DevOps practices
- Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field
Soft Skills
- 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!*
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