Senior Data Engineer (AWS) - 100% Remote - Contract to Hire (W2)

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by Akkodis, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Senior Data Engineer (AWS) at Akkodis will play a pivotal role in designing, building, and maintaining scalable data architectures that support the organization's analytics, reporting, and operational needs. The candidate will collaborate with cross-functional teams to ensure the effective ingestion, transformation, and delivery of data in a manner that promotes data-driven decision-making. This position requires a deep understanding of AWS cloud technologies, data modeling, ETL processes, and best practices in data governance and security, while working in a 100% remote capacity.

Job Responsibilities

• Design and implement robust data pipelines and architectures in AWS to facilitate seamless data flow from various sources.
• Develop and optimize ETL processes to ensure timely and accurate data ingestion.
• Implement data quality checks and monitoring mechanisms to maintain high data integrity.
• Work collaboratively with data scientists and analysts to understand data needs and provide actionable insights.
• Ensure compliance with data governance policies and security best practices across data landscapes.
• Participate in code reviews and provide mentorship to junior data engineers.
• Stay current with industry trends and emerging technologies in data engineering and AWS.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in data engineering, preferably within a cloud environment.
• Strong expertise in AWS services such as S3, Redshift, Glue, EMR, Lambda, and RDS.
• Proficient in programming languages such as Python, SQL, and Java.
• Experience with data warehousing and big data processing frameworks (e.g., Apache Spark, Hadoop).
• Familiarity with data modeling techniques and data architecture best practices.
• Strong problem-solving skills and attention to detail.

Technologies & Tools

The Senior Data Engineer will utilize a variety of technologies and tools as part of their daily responsibilities. Key technologies include Amazon Web Services (AWS) for cloud infrastructure, with specific emphasis on data-related services such as S3 for storage, Redshift for data warehousing, and Glue for ETL processes. Additional tools may encompass Apache Spark for big data processing, SQL database systems for data querying, and various programming languages, predominantly Python, for pipeline development. Familiarity with version control systems like Git will also be crucial for collaborative software development.

Ideal Candidates

The ideal candidate for the Senior Data Engineer position is one who exhibits strong analytical skills and a results-oriented mindset. They should demonstrate exceptional communication abilities to translate complex data needs into actionable plans and collaborate effectively with both technical and non-technical team members. A proactive learner, the candidate should be adaptable to changing technologies and methodologies, showcasing a genuine passion for data and a commitment to driving growth through data-driven insights.