Data Engineer, 12 months renewable contract

Responsibilities

• Design and deliver end-to-end data pipelines - from ingestion and transformation to quality assurance and integration - powering enterprise analytics and data products.
• Partner with business stakeholders and solution architects to translate complex requirements into scalable, high-quality data sets and analytics solutions.
• Build and optimize robust data ingestion, processing, and loading infrastructure across diverse sources (databases, APIs, streaming, third-party systems).
• Collaborate closely with data architects to ensure model integrity, performance, and alignment with the overall data strategy and governance standards.

SKills Reqd

• Min 3 years hands-on expertise in Data Engineering, end-to-end data pipelines, data warehousing, and BI solutions.
• Proven proficiency across modern data stack - PySpark, Python, Databricks, Azure Data Factory, Data Lakes, relational/NoSQL databases (MongoDB, Cassandra, HBase), and large-scale unstructured data environments along with Azure
• Strong track record delivering enterprise-grade BI implementations, interactive dashboards, and high-performance processing of complex, big datasets on cloud and on-premise platforms.
• Proficient in English.