Data Engineer

Candidate should have :

Clear, concise communication abilities - writing, verbal, presentation - to all levels of technical and non-technical audiences with the ability to collaborate

Strong experience in CICD technologies including Python, SQL, Airflow, and Git in a cloud setting

Understanding of ELK stack is a plus for logging and reporting purposes

Experience with pyspark is preferred and building API’s

Hands-on Experience in AWS data related services

Strong Python and object-oriented development skills

Strong UNIX skills

Redshift / Netezza DBA expertise and understanding

Advanced competencies in data modeling, modern data architecture, data masking, and manipulation of structured and unstructured data sources using state-of-art cloud computing technologies (AWS)

Candidate should be able to :

• Migrate from one data warehouse to AWS Redshift along with ETL components
• Collaborate with data engineers, software engineers, business leaders, and cross-functional stakeholders to implement data engineering
• solutions based on business priorities and technology initiatives

to ensure High Availability at enterprise scale.