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Responsibilities:
1. Independently build and maintain data pipelines and ETL workflows based on requirements
2. Assist analysts with data wrangling and metric building to support business decisions
3. Support the management of big data tools (e.g., Airflow, Spark, Flink), including routine operations and monitoring
Requirements:
1. Bachelor's degree or above in Computer Science or related fields
2. 2+ years of experience in data engineering or analytics
3. Proficient in SQL and Python,familiar with databases and tools like Airflow, Spark, or Flink
Job ID: 148953043
Skills:
Numpy, Pandas, Gcp, Spark, Azure, Sql, Python, AWS, Airflow, dbt
Skills:
data engineering , Azure Data Lake, Kafka, Postgresql, FastAPI, Apache Kafka, PostgreSQL, Python, Angular, Typescript, Rest API Development, API security, Azure Synapse, Azure Storage, Sql, Database Design, Devops, Kubernetes, Authentication, Identity Management, solution architecture, Web Application Development, TimescaleDB, asynchronous processing, data pipeline development, real-time data streaming, Batch Processing, cloud data platforms, CI/CD pipelines, container orchestration, microservices architecture, observability, Microsoft Entra ID, consumer groups, Problem Solving
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:
Spark, Sql, Python, Airflow, Flink
Skills:
Apache Spark, Kafka, Data Visualisation, Airflow
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