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Apache Spark Jobs in Jaipur

3+ Apache Spark Jobs in Jaipur | Apache Spark Job openings in Jaipur

Apply to 3+ Apache Spark Jobs in Jaipur on CutShort.io. Explore the latest Apache Spark Job opportunities across top companies like Google, Amazon & Adobe.

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Celebal Technologies

at Celebal Technologies

2 recruiters
Payal Hasnani
Posted by Payal Hasnani
Jaipur, Noida, Gurugram, Delhi, Ghaziabad, Faridabad, Pune, Mumbai
5 - 15 yrs
₹7L - ₹25L / yr
PySpark
Data engineering
Big Data
Hadoop
Spark
+4 more
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
Read more
Celebal Technologies Pvt Ltd

at Celebal Technologies Pvt Ltd

2 candid answers
Anjani Upadhyay
Posted by Anjani Upadhyay
Jaipur
3 - 6 yrs
₹10L - ₹15L / yr
ETL
Informatica
Data Warehouse (DWH)
SQL
NOSQL Databases
+6 more

Job Description: 

An Azure Data Engineer is responsible for designing, implementing, and maintaining pipelines and ETL/ ELT flow solutions on the Azure cloud platform. This role requires a strong understanding of migration database technologies and the ability to deploy and manage database solutions in the Azure cloud environment.

 

Key Skills:

·      Min. 3+ years of Experience with data modeling, data warehousing, and building ETL pipelines.

·      Must have a firm knowledge of SQL, NoSQL, SSIS SSRS, and ETL/ELT Concepts.

·      Should have hands-on experience in Databricks, ADF (Azure Data Factory), ADLS, Cosmos DB.

·      Excel in the design, creation, and management of very large datasets

·      Detailed knowledge of cloud-based data warehouses, architecture, infrastructure components, ETL, and reporting analytics tools and environments.

·      Skilled with writing, tuning, and troubleshooting SQL queries

·      Experience with Big Data technologies such as Data storage, Data mining, Data analytics, and Data visualization.

·      Should be familiar with programming and should be able to write and debug the code in any of the programming languages like Node, Python, C#, .Net, Java.

 

Technical Expertise and Familiarity:

  • Cloud Technologies: Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse)
  • Database: CosmosDB, Document DB  
  • IDEs: Visual Studio, VS Code, MS SQL Server
  • Data Modelling,ELT, ETL Methodology

 

 

 

 

 

 

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YourHRfolks

at YourHRfolks

6 recruiters
Bharat Saxena
Posted by Bharat Saxena
Remote, Jaipur, NCR (Delhi | Gurgaon | Noida), Chennai, Bangarmau
5 - 10 yrs
₹15L - ₹30L / yr
Big Data
Hadoop
Spark
Apache Kafka
Amazon Web Services (AWS)
+2 more

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.
Read more
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