Data Engineer
Posted Updated 2
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Summary
Designs and maintains scalable data pipelines and infrastructure using Python, SQL, Spark, and cloud platforms to enable analytics and AI workloads.
We are seeking Data Engineers to design and maintain scalable data pipelines and infrastructure enabling advanced analytics and AI use cases.
Profile required
Required Skills:
- Strong proficiency in Python and SQL for data processing and transformation.
- Experience with big data technologies: Apache Spark, Kafka, Flink.
- Knowledge of data warehousing solutions: Snowflake, BigQuery, Redshift, or Databricks.
- Experience building and orchestrating ETL/ELT pipelines with Airflow or dbt.
- Familiarity with data governance, data quality frameworks, and metadata management.
- Experience with cloud data platforms: AWS (Glue, Athena), Azure (Synapse), or GCP (Dataflow).