
Senior Data Engineer
11 hours ago
Senior Data Engineer (Talend)
Responsibilities:
• Lead end-to-end design and development of scalable data pipelines using Talend, orchestrating complex ELT workflows into Snowflake.
• Architect and optimize data warehousing solutions: warehouse sizing, clustering keys, materialized views, and Snowflake best practices.
• Build and maintain AWS infrastructure (S3 data lakes, EC2 batch clusters, RDS, No SQL).
• Define and enforce data governance, security, and compliance policies across pipelines and AWS resources.
• Mentor and guide junior engineers, conduct design/code reviews, and establish coding standards.
• Implement monitoring, alerting, and logging (Snowflake Usage & Billing) to ensure pipeline reliability and cost control.
• Collaborate with analytics and BI teams to translate business requirements into technical designs and SLAs.
• Drive continuous improvement: evaluate emerging tools (e.g., AWS Glue, dbt), recommend enhancements, and lead migration from legacy ETL systems.
Skills & Qualifications:
• 5+ years of data engineering experience, including extensive work with Talend and Snowflake in production environments.
• Deep expertise in Studio, TAC and AWS services(S3, EC2, RDS and No SQL).
• Expert SQL skills and performance tuning in Snowflake (query profiling, result caching, multi-cluster warehouses).
• Proficient in Python and Java for advanced data transformations and custom connector development.
• Experience with orchestration tools (Autosys, Airflow) and CI/CD for data pipelines.
• Strong background in data modeling, schema design, and partitioning strategies for large-scale datasets.
• Demonstrated ability to lead cross-functional projects, mentor teams, and communicate complex concepts to stakeholders.
• Knowledge of data security, GDPR/CCPA compliance, and implementing role-based access controls.
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