Desired Candidate Profile
Description:
- Understand, implement, and automate ETL pipelines with better industry standards
- Design and Build seamless, robust Real Time applications and batch processes using AWS services to fulfil business needs
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Strong understanding on DevOps to build/release, and configuration management in a continuous integration & delivery environment
- Build reusable components using Python and Document the details
- Great understanding of cloud & Good working knowledge on Python (PySpark will be an added advantage)
- Experience with AWS services (EC2, RDS, S3, API Gateway, Dynamo DB)
- Experience with AWS Services Access Management (Users, Roles, Policies)
- Experience on MPP warehouses like AWS Redshift/Snowflake will be an added advantage.
- Understanding of Agile and other development processes and methodologies
- Proactively identifies potential delivery issues and drives resolution to avoid customer impact and facilitate continuous improvement
- Should be hands on manager with strong fundamental knowledge and play a key role in mentoring project teams
- Provides complex metrics and reporting support to all relevant stakeholders
Eligibility:
- 8 10 years of relevant experience in big data / analytics preferably in consulting firms
- Possess strong analytical/ logical thinking skills and clarity of thought
- Demonstrate the knowledge, skills and abilities concerning global business fundamentals, business models, ethics, competitive analysis and cross-cultural/geographical sensitivities
- Good to have: Experience working with Technology clients or in space of Marketing analytics
EARLY JOINERS PREFERRED. Candidates who can join within 30 days mandate!
Interested candidates can reach out to an****a@py****c.com
Education:
UG: B.Tech/B.E. - Any Specialization
Contact Details:
Keyskills:
Hive
Project Management
Amazon Redshift
Hadoop
Big Data
Spark
Data Warehousing
ETL
AWS
Web Services
Python
Pig