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Gloify - Data Engineer - ETL/Spark/Big Data Tools (4-8 yrs)

4-8 years

Gloify - Data Engineer - ETL/Spark/Big Data Tools (4-8 yrs)

Gloify

posted 10d ago

Job Role Insights

Flexible timing

Job Description

Responsibilities :

- Build, maintain and optimize the data pipeline architecture

- Develop ETL pipelines based on the requirements following best practices, specifications, and standards

- Work with project teams to provide input and assistance in the design, development, and support of ETL and database components following standard software development lifecycle.

- Work with the team to ensure that ETL and database components conform to global standards via thorough code reviews

- Mentor junior programmers in the team and plan their skill development

- Determine the technical needs for the team to work on a project assigned or third-party tools

- Documenting the data requirements, data format and tool dependencies

- Flexibility and ability to adapt to new technological changes as per project need.

Requirements :

- 3+ years of experience in Big data.

- Knowledge of multiple cloud storage options like S3, Redshift, or Bigquery is a must.

- Should be well versed with MySQL, NoSQL.

- Knowledge of Pandas and Spark is a must.

- Knowledge of Python, SQL, shell script is a must and Javascript (Node.js) is good to have.

- Knowledge of streaming services like AWS streams / Kafka / Google Pub/sub is good to have.

- Knowledge of Queue systems like Rabbit MQ, SQS and building pipelines using the same is very much needed.

- Knowledge on Dockers, Kubernetes is good to have.

- Familiarity with multiple cloud providers (AWS, Azure & GCP) is good to have.

- Should be familiar with strategies for Real-time analytics and batch processing.

- Masters or Bachelor's degree in Computer Science or the equivalent in experience.


Functional Areas: Software/Testing/Networking

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What people at Gloify are saying

Data Engineer salary at Gloify

reported by 2 employees with 2 years exp.
₹8.6 L/yr - ₹10.9 L/yr
6% less than the average Data Engineer Salary in India
View more details

What Gloify employees are saying about work life

based on 26 employees
54%
100%
82%
100%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Gloify Benefits

Cafeteria
Work From Home
Team Outings
Free Transport
Child care
Gymnasium +6 more
View more benefits

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