2 дня назад
Data Engineer, Journeyman
95 000 - 105 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer, Journeyman (Cloud Data Engineering/ETL): Building and optimizing cloud-based data pipelines, data stores, and ETL/ELT workflows for analytics across structured and unstructured datasets with an accent on scalable ingestion, data modeling, and quality validation. Focus on implementing SQL and NoSQL testing, converting diverse data into analysis-ready formats, and operating platforms using technologies such as Python, Hadoop, and cloud services.
Location: Georgia, United States; remote work permitted within the US.
Salary: USD $95,000–$105,000 per year.
Company
delivers professional and federal solutions with a focus on mission-driven client support.
What you will do
- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data from cloud-based sources.
- Build and optimize data warehouses, data lakes, and lakehouses for analytics, reporting, and business intelligence.
- Perform backend SQL and NoSQL testing, data validation, post-deployment checks, and ingestion troubleshooting.
- Collaborate with analysts, engineers, product teams, and stakeholders to define data models, workflows, and technical specifications.
- Develop scripts and automation to convert diverse data types and monitor cloud-based data platforms.
Requirements
- At least 3 years of experience in data warehouse development and cloud-based analysis of aggregated data from multiple sources.
- At least 2 years of experience developing and maintaining scalable data stores for business analysis.
- Experience with SQL, Python, scalable ETL/ELT workflows, and Cloudera or Hadoop technologies.
- Experience with backend SQL and NoSQL database testing, post-deployment checks, and data validation.
- Bachelor’s degree and ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
Nice to have
- Experience with AWS Glue, AWS Athena, Postgres, Spark, Databricks, Hive, AWS EMR, or Kafka.
- Experience with real-time data, streaming applications, MongoDB, Cassandra, Redshift, MySQL, or Snowflake.
- Experience with UNIX/Linux, shell scripting, and Agile engineering practices.
Culture & Benefits
- Remote work permitted within the US.
- Paid time off, vacation accrual, and 11 paid holidays.
- Medical, dental, vision, prescription, disability, life, and employee assistance coverage.
- Flexible spending, health savings, health reimbursement, dependent care, and commuter accounts.
- 401k/401a retirement plans and additional voluntary insurance benefits.
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