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Staff Data Engineer

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Job Location drjobs

Alexander City - USA

Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Role: Staff Data Engineer
Location: Austin TX (Day 1 Onsite and need only local candidates to TX)
Duration: 12 Months
Experience: 12 Years
Note: AWS Certification is mandatory for this role
Responsibilities:
  1. Data Architecture: Design develop and maintain scalable data architectures and pipelines on AWS to support data analytics and business intelligence.
  2. ETL Processes: Build and manage ETL processes to extract transform and load data from various sources into data warehouses and data lakes.
  3. Data Integration: Integrate data from multiple sources ensuring data quality consistency and security.
  4. Performance Optimization: Optimize data processing workflows for performance scalability and costefficiency.
  5. Collaboration: Work closely with data scientists analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs.
  6. Monitoring: Implement monitoring and alerting systems to ensure data pipeline reliability and performance.
  7. Documentation: Maintain comprehensive documentation of data architectures pipelines and processes.
Qualifications:
  1. Education: Bachelor/Masters degree in computer science Engineering or a related field.
  2. Experience:
    1. 10 years of experience in data engineering with a focus on AWSbased solutions.
    2. Proven experience in designing and implementing data pipelines and architectures.
  3. Technical Skills:
    1. AWS Services: Proficiency in AWS services such as S3 Redshift Glue Lambda EMR and RDS.
    1. Programming Languages: Strong programming skills in Python.
    1. Big Data Technologies: Experience with big data technologies like Hadoop Spark and Kafka.
    1. Database Management: Proficiency in SQL and NoSQL databases.
    1. Data Modeling: Strong understanding of data modeling data warehousing and data lake concepts.
    1. DevOps: Familiarity with DevOps practices and tools (e.g. Docker Kubernetes Jenkins).
    1. Security: Knowledge of data security best practices and compliance requirements.
  1. Certifications:
    1. AWS Certified Data Engineer Associate
    2. AWS Certified Data Analytics Specialty
Soft Skills:
  1. ProblemSolving: Strong analytical and problemsolving skills.
  2. Communication: Excellent communication and interpersonal skills to interact with various stakeholders.
  3. Teamwork: Ability to work effectively in a collaborative team environment.
  4. Adaptability: Flexibility to adapt to changing business requirements and technologies.

Employment Type

Full Time

Company Industry

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