Senior Data Engineer (AWS)

TL;DR

Senior Data Engineer (AWS): Designing, building, and maintaining scalable data pipelines and infrastructure for analytics and reporting with an accent on cloud platforms (AWS), big data technologies, and ETL/ELT. Focus on optimizing data models, ensuring data quality, and collaborating with cross-functional teams for data-driven decision-making.

Location: Full Remote (United States)

Salary: $85,000–$90,000 USD per year

Company

hirify.global is an IT consultancy firm specializing in innovative technology solutions for startups, mid-sized, and large corporations across various industries.

What you will do

• Build and maintain ETL/ELT pipelines and data infrastructure on AWS.
• Develop and optimize data models and data warehousing solutions.
• Work with big data technologies such as Spark, Kafka, and Hadoop to process and analyze large datasets.
• Ensure data quality, integrity, and governance through preprocessing, validation, and monitoring.
• Collaborate with cross-functional teams to understand data requirements and align solutions with business goals.
• Create dashboards, templates, and visualizations to communicate insights effectively.

Requirements

• Strong experience with SQL and Python (or Scala).
• Hands-on experience with cloud platforms (AWS) and big data technologies (Spark, Kafka, Hadoop).
• Experience with data modeling, ETL/ELT, and orchestration tools such as Airflow.
• Strong analytical, problem-solving, and collaboration skills.
• Experience with data visualization and reporting tools.
• Understanding of data governance and data quality standards.