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Текст:
Hirify AI/Оригинал
TL;DR
Senior Engineer Digital Distribution (AWS): Building and managing large-scale batch and real-time data pipelines and integration platforms for client information, analytics, and reporting with an accent on AWS cloud architecture, data engineering, and system reliability. Focus on designing complex data solutions, optimizing ETL/ELT and database workloads, and enabling automated development and deployment across the full project lifecycle.
Location: Atlanta, Georgia, United States. Hybrid workplace model requiring at least four full days each week in an hirify.global office.
Company
hirify.global is a global investment management firm providing investment strategies and vehicles to clients worldwide.
What you will do
Manage application and data integration platforms using AWS cloud components.
Build and maintain robust batch and real-time data pipelines for analytics, reporting, and client information.
Lead the planning, design, development, testing, and rollout of data integration and reporting projects under Agile standards.
Ensure data availability and enablement for business reporting and analytics within SLA requirements.
Create and maintain data, application, and technology architecture documentation and design artifacts.
Collaborate with business owners, product owners, data analysts, and application developers to define requirements for data ingestion, verification, and scheduling.
Requirements
5–7 years of experience in data modeling, data warehousing, and big data architectures.
5–7 years of experience with AWS, including S3, RDS, Lambda, Glue, SNS, and Terraform.
5–7 years of experience building data pipelines with Apache Airflow and Airbyte.
Experience with ETL/ELT, strong SQL knowledge, and query optimization techniques such as dbt.
3–5 years of experience with Snowflake, plus strong experience with databases including PostgreSQL, Aurora, and Athena.
Strong programming experience with Python, Linux/bash scripting, and Ansible.
Experience with GitHub, Bitbucket, or another code repository solution.
Understanding of automated code deployments and CI/CD.
Bachelor’s degree in Computer Science, Applied Mathematics, Physics, Statistics, data sciences, data mining, or a related field, or relevant experience.
Nice to have
Experience with Snowflake Cortex AI and LLM prompt engineering.
Culture & Benefits
Full-time employee position with flexible paid time off.
Hybrid work model with at least four office days per week.
401(k) matching of 100% up to the first 6%, plus a discretionary supplemental contribution.
Health and wellbeing benefits, parental leave, and an employee stock purchase plan.
Inclusive workplace and equal opportunity employment practices.
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