Data Engineer
Indexed description
Responsibilities
- Design and develop data pipelines using industry-standard tools and technologies (e.g., Apache Spark, Kafka, Airflow).
- Extract, transform, and load (ETL) data from various sources into data warehouses and lakes.
- Develop and maintain data quality checks and monitoring processes.
- Optimize data pipelines for performance and scalability.
- Collaborate with data scientists and analysts to understand their needs and deliver data that meets their requirements.
- Document data pipelines and processes effectively.
- Stay up-to-date with the latest advancements in data engineering technologies and trends.
- Strong programming skills (Python, Java, Scala).
- Experience with Big Data technologies (Hadoop, Spark).
- Experience with Cloud platforms (AWS, Azure, GCP).
- Familiarity with data warehousing and data lake technologies.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.
- Active TS/SCI with poly clearance is required.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (preferred).
- 2+ years of experience in data engineering or a related role.
- Understanding of data engineering principles and best practices.
Altus Consulting is dedicated to diversity and inclusion, building a work environment where everyone feels respected and valued. We firmly believe in equal opportunity, guaranteeing fair and unbiased treatment for all individuals in all aspects of employment, regardless of race, color, religion, national origin, gender, sexual orientation, gender identity, pregnancy, childbirth or related medical conditions, age, protected veteran status, or disability status. We oppose discrimination in any form, and our commitment is evident in every interaction.
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