<![CDATA[Data Engineer]]>

<![CDATA[Climate Connect Digital]]>

Posted: over 1 year ago

Company Website
<![CDATA[https://cutsh...
Position type
full time
Job source
Cutshort
Category
programming
Remote
No
Salary
<![CDATA[8 - 15 lacs/annum]]>
Job location
<![CDATA[India]]>
About

<![CDATA[

About Climate Connect Digital


Our team is inspired to change the world by making energy greener, and more affordable. Established in 2011 in London, UK, and now headquartered in Gurgaon, India. From unassuming beginnings, we have become a leading energy-AI software player, at the vanguard of accelerating the global energy transition.


Today we are a remote first organization, building digital tools for modern enterprises to reduce their carbon footprint and help the industry to get to carbon zero.



About the Role - Data Engineer


As we start into our first strong growth phase, we are looking for a Data Engineer to build the data infrastructure to support business and product growth.

You are someone who can see projects through from beginning to end, coach others, and self-manage. We’re looking for an eager individual who can guide our data stack using AWS services with technical knowledge, communication skills, and real-world experience.


The data flowing through our platform directly contributes to decision-making by algorithms & all levels of leadership alike. If you’re passionate about building tools that enhance productivity, improve green energy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base, come join us!


Job Responsibilities

  • Iterate, build, and implement our data model, data warehousing, and data integration architecture using AWS & GCP services
  • Build solutions that ingest data from source and partner systems into our data infrastructure, where the data is transformed, intelligently curated and made available for consumption by downstream operational and analytical processes
  • Integrate data from source systems using common ETL tools or programming languages (e.g. Ruby, Python, Scala, AWS Data Pipeline, etc.)
  • Develop tailor-made strategies, concepts and solutions for the efficient handling of our growing amounts of data
  • Work iteratively with our data scientist to build up fact tables (e.g. container ship movements), dimension tables (e.g. weather data), ETL processes, and build the data catalog


Job Requirements


  • Experience designing, building and maintaining data architecture and warehousing using AWS services
  • Authoritative in ETL optimization, designing, coding, and tuning big data processes using Apache Spark, R, Python, C# and/or similar technologies
  • Experience managing AWS resources using Terraform
  • Experience in Data engineering and infrastructure work for analytical and machine learning processes
  • Experience with ETL tooling, migrating ETL code from one technology to another will be a benefit
  • Experience with Data visualisation / dashboarding tools as QA/QC data processes
  • Independent, self-starter who thrives in a fast pace environment


What’s in it for you


We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:


  • Flexible working hours and leave policy
  • Learning and development opportunities
  • Medical insurance/Term insurance, Gratuity benefits over and above the salaries
  • Access to industry and domain thought leaders.


At Climate Connect, you get a rare opportunity to join an established company at the early stages of a significant and well-backed global growth push.


We are building a remote-first organisation ingrained in the team ethos. We understand its importance for the success of any next-generation technology company. The team includes passionate and self-driven people with unconventional backgrounds, and we’re seeking a similar spirit with the right potential.

 

What it’s ​like to work with us

 

You become part of a strong network and an accomplished legacy from leading technology and business schools worldwide when you join us. Such as the Indian Institute of Technology, Oxford University, University of Cambridge, University College London, and many more.

 

We don’t believe in constrained traditional hierarchies and instead work in flexible teams with the freedom to achieve successful business outcomes. We want more people who can thrive in a fast-paced, collaborative environment. Our comprehensive support system comprises a global network of advisors and experts, providing unparalleled opportunities for learning and growth.

Skills:- ETL, Big Data, Data Warehouse (DWH), PySpark, Apache Hadoop and Apache Hive]]>

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