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• Min. 3 years data engineering experience
• Strong Python, SQL, and data modelling skills
• Experience with big data processing (e.g. Spark, Databricks)
• Experience building ETL / ELT pipelines
• Familiar with cloud data platforms (e.g. AWS S3, data lakes)
• Experience integrating multiple data sources (APIs, databases, files)
• Familiarity with monitoring, access control, and documentation
ROLE:
• Build and maintain data ingestion and transformation pipelines from multiple source systems
• Integrate structured and unstructured data into data platforms
• Validate, reconcile, and troubleshoot data issues across systems
• Implement data quality checks, lineage tracking, and governance controls
• Support UAT, post go-live monitoring, enhancement cycles, and incident management
Job ID: 149121251
Skills:
Data Modeling, Dimensional Modeling, Data Warehousing, Sql, Star Schema, ELT, Etl, Cloud Data Platforms
Skills:
data engineering , Python, Sql, Pyspark, AWS, Aws Rds, S3, Apache Airflow, Kafka, Etl, ELT, Data Modeling, Data Lake, Docker, Cloud Infrastructure, Nosql, Data Quality, Scalability, dbt, Debezium, CDC Frameworks, Data Pipelines, Real-Time Processing, Batch Processing, Apache Iceberg, Delta Lake, ClickHouse, Workflow Orchestration, Relational Databases, ERP Data Integration, Construction Data, Manufacturing Data, Logistics Data, Pipeline Monitoring, Troubleshooting, Performance Optimization
Skills:
Unix, Pyspark, Apache Spark, Sql, Apache Nifi, Git, Hive, Linux, Bitbucket, MongoDB, Python, HDFS, Iceberg
Skills:
data engineering , snowflake , Sql, ETL/ELT, AI/ML
Skills:
Aws, Etl, Sql
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