Remote Sr. big data Jobs – 73 Open Jobs Today

Senior Data & Backend Engineer
ᴠᴡᴏʀᴋᴇʀ ꜱᴏʟᴜᴛɪᴏɴꜱ ɪɴᴅɪᴀ ᴘᴠᴛ. ʟᴛᴅ. —Remote
- From ₹30,000 a month
- Part-time
- Remote
- Computer Science
- English
- Java
- Work from home
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13d
Senior Data Engineer (Snowflake & Python)
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- ₹15,00,000 - ₹20,00,000 a year
- Part-time
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Codvo.ai —Remote
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YipitData —Remote
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Cimpress —Remote
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Senior Java Developer
SSMTB Software Services —Remote
- Up to ₹26,15,269.53 a year
- Full-time
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- Java
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- Health insurance
- Paid time off
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4d
Senior Strategic Partner Manager - SI India
Wiz —Remote
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Codetoday.io —Remote
- ₹1,00,000 - ₹1,60,000 a month
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- Azure
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11d
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Presales Solutions Architect - ServiceNow
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Senior Data Analytics Engineer
MariaDB plc —Remote
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Senior Product Designer (Designer + Developer role)
3Pillar —Remote
- Remote
- Agile
- AI
- Communication skills

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Senior Data & Backend Engineer

ᴠᴡᴏʀᴋᴇʀ ꜱᴏʟᴜᴛɪᴏɴꜱ ɪɴᴅɪᴀ ᴘᴠᴛ. ʟᴛᴅ.
Remote

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Job details

Part-time
From ₹30,000 a month
13 days ago

Benefits

Work from home

Qualifications

CI/CD
Cloud infrastructure
Computer Science
CSS
React
Big data
Spark
English
Apache Hive
Java
AWS
Bachelor's degree
Scala
Terraform
Continuous integration
Back-end development
Angular
Kafka
Python
HTML
Identity & access management
Design patterns

Full job description

Profile: Senior Data & Backend Engineer

Skills: Java, Scala, Python, Spark, Hive, SpringBoot

Experience: 5+ Years

Working Hours: 3–4 hours per day (Between 7 PM IST to 1 AM IST) or (6 AM IST To 11 AM IST)

Working Days: Monday To Friday

Location: Remote

Job Description:

Solid data engineering as well as backend development.

Must have AWS

Data pipeline: Airflow to Databricks (all bonus, preferred)

Programming Language: Scala (a little bit on the nice to have), Java and Python

60% data, 40% backend development

Can choose between Scala, Python or Java for coding interview - it’s more of a white board session and they are expected to talk through their process and ask the right questions in order to get to the solution.

WHAT YOU'LL DO

Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs

Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability

Contribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated test

Chip in ground-breaking innovation and apply the state-of-the-art technologies

As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing

Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment

BASIC QUALIFICATIONS

Bachelor or above in computer science or EE

5+ years of professional programming in Java, Scala, Python, etc.

5+ years of big data development experience with technical stacks like Spark, Hive, Singlestore, Kafka, and AWS big data technologies.

Knowledge of system, application design and architecture

Experience of build industry level high available and scalable service

Passion about technologies, and openness to interdisciplinary work·

PREFERRED QUALIFICATIONS

Experience with processing large amount of data at petabyte level.

Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, etc.

Experience in widely used Sprint framework and Web framework (React.js, Vue.js, Angular, etc.) and good knowledge of Web stack HTML, CSS, Webpack

REQUIRED EDUCATION

STEM BA Degree + 5 years relevant experience

ADDITIONAL INFORMATION

Focus for this role will be more backend engineering, so those with Data Eng experience are needed.

Pay: From ₹30,000.00 per month

Benefits:

Work from home

Experience:

AWS: 5 years (Required)
Java: 4 years (Required)
Python: 5 years (Required)
Big data: 5 years (Required)
Spark: 5 years (Required)

Work Location: Remote

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Refine Your Search

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I want to receive the latest job alerts for sr. big data in remote

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