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Open nowFirst seen 2 days ago

Principal Engineer (Big Data Engineer)

PradeepIT Consulting Services Pvt Ltd2,005 open roles

Where
Bengaluru, KA, India, Remote
Work mode
Remote
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Your applicationOpen nowPrincipal Engineer (Big Data Engineer)PradeepIT Consulting Services Pvt Ltd · Bengaluru, KA, India, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on PradeepIT Consulting Services Pvt Ltd's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

About the job

Accelerate your career with PradeepIT

PradeepIT is one of the largest, globally recognized IT Consulting firm to connect India's deeply vetted talent team to global customer.

Were headquartered in Bengaluru, Silicon Valley of India. PradeepITs customers include SAP Lab, Bosch, Rolls-Royce, Daikin, Daimler and J&J and hundreds of other Fortune 500 companies and fast-growing startups.

With continuous hard work and working remotely by choice, PradeepIT is certified as a Great Place to Work! Trusted by leading brands and fortune 500 companies from around the world, we have achieved:

6+ Years of Experience

580+ Open source technology Consultant

120+ SAP Consultant

40+ Salesforce Consultant

60+ Adobe Consultant

100+ Mobility Consultant

890+ Clients in APAC, EMEA & USA

Our Beliefs

PradeepIT believes in connecting people across the globe and provide them an opportunity work on remotely. Being a people-first organization, PradeepIT constantly strives for individuals who won't just keep up, but break new ground, work with cutting edge technology and ramp-up their skills with course created by our Vertical Heads, Senior Architect for freely with help of PradeepIT Academy.

Principal Engineer (Big Data Engineer)

Experience: 12 15 years



Requirements:

  • Should have a strong technical background with Big data, Spark, Python (PySpark) / Scala/Java, AWS/Azure/GCP;
  • Experience working with MS SQL and NoSQL databases (Hbase, Cassandra).
  • Abilities to build Data Pipelines (from ETL to consumption) using Apache Stack Tools, GCP, AWS and Azure.
  • Design and develop complex mappings, performance tuning of mappings, Process Flows
  • Hands-on experience in System designing, Event sourcing, and message broker architecture
  • Requirement gathering and analysis
  • Define, understand, and analyze non-functional requirements for the project
  • Lead the technical team
  • Should be able to compare technologies to find the best fit for project requirements
  • Should be able to troubleshoot complex or unusual bugs

Responsibilities:

  • Writing and reviewing great quality code/support
  • Understanding the client's business use cases and technical requirements and being able to convert them into a technical design that elegantly meets the requirements.
  • Mapping decisions with requirements and being able to translate the same to developers.
  • Identifying different solutions and being able to narrow down the best option that meets the client's requirements.
  • Defining guidelines and benchmarks for NFR considerations during project implementation
  • Writing and reviewing design documents explaining the overall architecture, framework, and high-level design of the application for the developers
  • Review architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
  • Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
  • Understanding and relating technology integration scenarios and applying these learnings in projects
  • Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.



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