
Enterprise Data Architect
3 hours ago
We are seeking an experienced Senior Data Engineer with a strong background in building and scaling enterprise-grade data platforms.
The ideal candidate will have expertise in ETL, Cloud, Data Warehousing, and Big Data ecosystems. They will be responsible for designing and optimizing data pipelines using AWS Glue, Airflow, Databricks, StreamSets, and Snowflake.
Key Responsibilities:
Data Pipeline Design & Optimization: Build ETL/ELT workflows to extract, transform, and load data from various sources.Cloud & Big Data Solutions: Architect scalable platforms with AWS (Redshift, Lambda, S3, Athena) and leverage Spark, Kafka, Hive for processing.Data Modeling & Governance: Create robust schemas, ensure compliance with GDPR/HIPAA regulations, and enforce security best practices.Leadership & Collaboration: Mentor junior engineers, work with analysts & data scientists, and act as a technical architect in solution delivery.Performance & Security: Optimize queries, implement RBAC & IAM, and ensure disaster recovery/high availability standards.Requirements:
Tech Stack Expertise:Programming: Python (primary), SQL (expert), Java (good-to-have)Platforms: AWS (Glue, Redshift, RDS, Lambda, S3), Snowflake, Databricks, Spark, KafkaTools: Airflow, StreamSets, DBTDatabases: MS SQL Server, MySQL, Hive, HBaseStrong experience in data modeling, governance, and compliance.Proven track record in end-to-end project delivery and enterprise data integration.-
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