Senior Data Engineer

TL;DR

Senior Data Engineer: Designing, building, and operating scalable, cloud-native data platforms with an accent on governance, performance, and reliability. Focus on developing real-time streaming pipelines and large-scale data transformations using modern cloud architectures.

Location: Hybrid

Company

hirify.global is a global leader in professional services, helping clients transform their business, operating, and technology models for the digital era.

What you will do

• Design, build, and operate scalable, cloud-native data platforms supporting batch and streaming use cases.
• Develop and operate data systems across AWS, Azure, and GCP.
• Build modern data architectures, including data lakes, lakehouses, and data hubs.
• Implement data ingestion patterns and pipelines using Kafka and AWS Glue.
• Design and develop real-time streaming pipelines using Flink or similar frameworks.
• Perform large-scale data transformations using Apache Spark and dbt.

Requirements

• Experience building and operating cloud-native data solutions on AWS, Azure, or GCP.
• Expertise in data ingestion tools such as Kafka and AWS Glue.
• Advanced SQL modeling skills and experience with dbt and Airflow.
• Knowledge of modern storage formats like Apache Iceberg and Parquet.
• Understanding of real-time streaming and event-driven architectures.
• Proficiency in data modeling techniques including SCD and schema evolution.

Culture & Benefits

• Global community with over 300,000 associates.
• Collaborative, energetic, and inclusive workplace environment.
• Focus on innovation and career development paths.
• Commitment to diversity as an equal opportunity employer.