2+ Hadoop Jobs in Jaipur | Hadoop Job openings in Jaipur

Job Responsibilities:

• Project Planning and Management
o Take end-to-end ownership of multiple projects / project tracks
o Create and maintain project plans and other related documentation for project
objectives, scope, schedule and delivery milestones
o Lead and participate across all the phases of software engineering, right from
requirements gathering to GO LIVE
o Lead internal team meetings on solution architecture, effort estimation, manpower
planning and resource (software/hardware/licensing) planning
o Manage RIDA (Risks, Impediments, Dependencies, Assumptions) for projects by
developing effective mitigation plans
• Team Management
o Act as the Scrum Master
o Conduct SCRUM ceremonies like Sprint Planning, Daily Standup, Sprint Retrospective
o Set clear objectives for the project and roles/responsibilities for each team member
o Train and mentor the team on their job responsibilities and SCRUM principles
o Make the team accountable for their tasks and help the team in achieving them
o Identify the requirements and come up with a plan for Skill Development for all team
members
• Communication
o Be the Single Point of Contact for the client in terms of day-to-day communication
o Periodically communicate project status to all the stakeholders (internal/external)
• Process Management and Improvement
o Create and document processes across all disciplines of software engineering
o Identify gaps and continuously improve processes within the team
o Encourage team members to contribute towards process improvement
o Develop a culture of quality and efficiency within the team

Must have:
• Minimum 08 years of experience (hands-on as well as leadership) in software / data engineering
across multiple job functions like Business Analysis, Development, Solutioning, QA, DevOps and
Project Management
• Hands-on as well as leadership experience in Big Data Engineering projects
• Experience developing or managing cloud solutions using Azure or other cloud provider
• Demonstrable knowledge on Hadoop, Hive, Spark, NoSQL DBs, SQL, Data Warehousing, ETL/ELT,
DevOps tools
• Strong project management and communication skills
• Strong analytical and problem-solving skills
• Strong systems level critical thinking skills
• Strong collaboration and influencing skills

Good to have:
• Knowledge on PySpark, Azure Data Factory, Azure Data Lake Storage, Synapse Dedicated SQL
Pool, Databricks, PowerBI, Machine Learning, Cloud Infrastructure
• Background in BFSI with focus on core banking
• Willingness to travel

Work Environment
• Customer Office (Mumbai) / Remote Work

Education
• UG: B. Tech - Computers / B. E. – Computers / BCA / B.Sc. Computer Science

Position: Big Data Engineer

What You'll Do

Punchh is seeking to hire Big Data Engineer at either a senior or tech lead level. Reporting to the Director of Big Data, he/she will play a critical role in leading Punchh’s big data innovations. By leveraging prior industrial experience in big data, he/she will help create cutting-edge data and analytics products for Punchh’s business partners.

This role requires close collaborations with data, engineering, and product organizations. His/her job functions include

• Work with large data sets and implement sophisticated data pipelines with both structured and structured data.
• Collaborate with stakeholders to design scalable solutions.
• Manage and optimize our internal data pipeline that supports marketing, customer success and data science to name a few.
• A technical leader of Punchh’s big data platform that supports AI and BI products.
• Work with infra and operations team to monitor and optimize existing infrastructure 
• Occasional business travels are required.

What You'll Need

• 5+ years of experience as a Big Data engineering professional, developing scalable big data solutions.
• Advanced degree in computer science, engineering or other related fields.
• Demonstrated strength in data modeling, data warehousing and SQL.
• Extensive knowledge with cloud technologies, e.g. AWS and Azure.
• Excellent software engineering background. High familiarity with software development life cycle. Familiarity with GitHub/Airflow.
• Advanced knowledge of big data technologies, such as programming language (Python, Java), relational (Postgres, mysql), NoSQL (Mongodb), Hadoop (EMR) and streaming (Kafka, Spark).
• Strong problem solving skills with demonstrated rigor in building and maintaining a complex data pipeline.
• Exceptional communication skills and ability to articulate a complex concept with thoughtful, actionable recommendations.