SAS Data Quality Consultant:

• Data Quality developer will be responsible for analyzing and understanding data sources and end-user requirements using the SAS DQ.
• Must be aware of Data Quality dimensions and their implementation in SAS DQ tool.
• No of Position-2
• Role & Responsibilities - Dev and Testing Skills
• Experience - 3-6 years of experience
• Location – Delhi NCR

AWS Developer

• Should have strong knowledge of AWS Cloud libraries
• Proficiency in developing, deploying, and debugging cloud-based applications using AWS Services - EC2, ECS, EKS, Lambda, DynamoDB, SQS, Cognito, CloudFormation
• Knowledge on Java, Spring boot, Spring Integration, Node JS
• Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications
• Ability to use a CI/CD pipeline to deploy applications on AWS
• Ability to write code using AWS security best practices (e.g., not using secret and access keys in the code, instead using IAM roles)
• Hands-on experience working in an agile/iterative development environment
• Develop and deploy AWS cloud-based solutions, services, and interfaces
• Participate in all phases of software engineering including; requirements, design, coding and testing.
• Design and implement product features in collaboration with product managers and stakeholder.
• Design reusable components, frameworks and libraries or micro-services
• Participate in an Agile/Scrum methodology to deliver high-quality software releases every 2 weeks

Nos of Resources required: 5 to 6

Work location: Remote (Bangalore/Mumbai)

Qualification: BTech

Experience: 4 yrs – 8 yrs

Mobilization Period in weeks: 2 week

Duration: 6 to 12 months  

Our client, a home appliances manufacturer, wants to understand the past effectiveness of the marketing spend and take decisions regarding their future spend directions. We are looking for providers who could assist us in establishing the impact of key marketing variables.

Position: Support Engineer

Must Have Technical Skills: Azure Data Factory

Good to have Technical Skills: Knowledge of sql or hive, python, pyspark, hdfs or adls

Preferred Industry Experience: Manufacturing

 Role:

Monitor Batch Pipelines in the Data Analytical Platform and provide workaround to the problems.

Troubleshoot issues, provide workaround, determine root cause, upon failures.

Desired Qualification:

·         0-3 years of DE or batch support experience.

·         Must be willing to work completely in the night shift.

·         Ability to work on a task independently or with minimal supervision.

·         Knowledge of Data Orchestration Tool, preferably ADF.

·         Knowledge of sql or hive, python, pyspark, hdfs or adls.

·         Work location: Remotely.

Nos of Resources required: 1 to 2

Work location: Remote

Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background

Experience: 0-3 Years

Mobilization Period in weeks: 1 week

Duration: 6 to 12 months  

We need a proficient PySpark resource with good experience.