Data Engineer

at Planet Spark

Data Engineer

Planet Spark

Company

Home

Data Engineer

at Planet Spark

Posted by Maneesh Dhooper

2 - 5 yrs

₹7L - ₹18L / yr

Gurugram

Skills

Data engineering

Data Engineer

Data Warehouse (DWH)

Python

SQL

Apache Hadoop

Datawarehousing

Data architecture

Machine Learning (ML)

Responsibilities :

Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet business requirements
Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Work with Data, Analytics & Tech team to extract, arrange and analyze data
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

Skill Requirements

SQL
Ruby or Python(Ruby preferred)
Apache-Hadoop based analytics
Data warehousing
Data architecture
Schema design
ML

Experience Requirement

Prior experience of 2 to 5 years as a Data Engineer.
Ability in managing and communicating data warehouse plans to internal teams.
Experience designing, building, and maintaining data processing systems.
Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
Excellent analytic skills associated with working on unstructured datasets.
Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.

Responsibilities :

Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet business requirements
Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Work with Data, Analytics & Tech team to extract, arrange and analyze data
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

Skill Requirements

SQL
Ruby or Python(Ruby preferred)
Apache-Hadoop based analytics
Data warehousing
Data architecture
Schema design
ML

Experience Requirement

Prior experience of 2 to 5 years as a Data Engineer.
Ability in managing and communicating data warehouse plans to internal teams.
Experience designing, building, and maintaining data processing systems.
Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
Excellent analytic skills associated with working on unstructured datasets.
Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.

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About Planet Spark

Founded

Type

Size

Stage

About

PlanetSpark is on a mission to build the next generation of confident speakers and creative writers. We are a global company impacting over 11 countries through live 1:1 personalized classes on Public Speaking and Creative Writing through handpicked top 1% teachers. Our kids participate in gripping debates, create viral youtube videos, start their own podcast channels, perform stand-up comedy, write nail-biting mystery stories, and become confident and fearless speakers.

PlanetSpark is on its journey to becoming the global leader in the large and untapped communication skills segment. We are Series A funded by some top VCs and are on a 30% month-on-month growth curve. We have our footprint in India, the Middle East, North America, and Australia. Come join a passionate team of over 500 young and energetic members and 400+ expert and handpicked teachers on this roller coaster ride to build the most loved brand for kids who will move the world!

Pooja Shaundh

Surya Pillai

Maneesh Dhooper

Maneesh Dhooper

Aditi Chhetri

Company social profiles

N/A

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