Roles and Responsibilities
Creating and maintaining a sophisticated and secure data pipeline
Improving data quality, reducing latency, ensuring accuracy and efficiency in secure data systems
Combining raw information from different sources and sending it to various endpoints
Identifying opportunities for further data acquisition
Working in conjunction with the data science and development teams to obtain greater
functionality within our data ecosystems.
Serving as a primary technical engineer supporting an integrated AWS data environment including Redshift, SageMaker, s3 and various other technologies
Desired Candidate Profile
BS in Computer Science, IT, or other engineering field
1-2 years of relevant work experience as a Data Engineer or a similar role
Experience designing and maintaining an efficient data architecture
Experience with programming languages such as Python, Node.js, and PHP
Advanced Experience using AWS cloud services such as Redshift, Lambda, and S3
Experience with security as it relates to data engineering
Experience using SQL databases (MySQL, Postgres, etc.)
Ability to communicate effectively and work across teams to understand specific data needs
Experience pulling data using APIs and integrating data into the warehouse
Experience using the Command Line Interface in AWS and PySpark
Perks and Benefits
This is a Part Time/ Work from Home Position Expecting 40 hrs per week
Project Duration of 6 -12 months.
Pay rate per month will be INR 75,000 to 1,10,000/- Based on interview feedback. 10% TDS will be applicable as per Govt of India Norms. And TDS certificate will be issued during financial year ending.
Technical Assessment Code Test (Time frame to complete 15 hour)
1 Technical Discussion
1 Client Discussion.
Work Location: Work from Home. Consultant must have good Laptop and Broadband Connectivity.
Work Timings: 1:30 pm IST to 10:30 pm IST
Interested candidates please submit your resume: firstname.lastname@example.org