
Chief Data Infrastructure Specialist
1 week ago
We are seeking a highly skilled Senior Data Engineer to join our team.
Job Description:
Develop and construct data acquisition pipelines for large volumes of structured and unstructured data. This includes batch and real-time processing, utilizing tools like Python, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, and Cloud Storage.
Build large and complex datasets based on business requirements, leveraging your expertise in data engineering to drive informed decision-making.
Design and implement big data pipeline architecture, ensuring scalability, reliability, and efficiency.
Identify opportunities for data acquisition via collaboration with stakeholders and business clients, translating business needs into technical requirements.
Use logs and alerts to effectively monitor pipelines, ensuring optimal performance and minimizing downtime.
Leverage SAP SLT to replicate SAP tables to Google Cloud using SLT, and develop JSON messaging structures for integrating with various applications.
Apply DevOps and CI/CD practices (GitHub, Terraform) to ensure the reliability and scalability of data pipelines, partitioning and clustering content in Big Query, and securing data with IAM roles and Policy Tags.
Recommend ways to improve data quality, reliability, and efficiency, designing and building ingestion pipelines using Rest API.
Requirements:
Requires 4+ years of experience in a GCP data engineering role (offshore).
At least 1 year of hands-on experience in GCP tools (Python, SQL, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage).
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