Senior Data Engineer
Posted 966 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 1 hour ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 966d ago
The date the source published, not the day we noticed it (2024-01-23). Last seen at its source 1h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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greenhouse employer's own board first seen 11d ago · last seen 1h ago
The listing
Description
Equal Experts is an innovative consultancy specialising in the delivery of custom software solutions for
blue-chip enterprise and public sector clients across a range of industry sectors. We work on important
projects for our clients, deliver market-leading propositions across the digital, online and mobile
channels, and are recognised for our leadership in the application of agile and lean delivery methods to
assure delivery. We have offices in Australia, India, South Africa, the UK, the EU and the USA.
We’re looking for Data Engineers with proven senior-level experience to join the Equal Experts
network.
Our Data Engineers are highly skilled in creating data pipelines for ingest, transformation and storage of
data, usually at scale, and are familiar with standing-up analytics clusters.
This role involves using modern agile technical practices - including Continuous Integration and
Deployment, TDD, and XP - to deliver timely and pragmatic solutions, as well as helping others to do
their jobs in a more effective way.
This role involves working in teams that use modern agile technical practices - including continuous
integration and deployment and fast feedback loops - to deliver timely and pragmatic solutions, as well
as helping others to do their jobs in a more effective way.
Responsibilities
● Working with the client and the team to determine data processing and access needs and how
best to deliver them.
● Creation and support of highly available data pipelines and storage solutions (e.g. data
warehouses).
● Delivery of software using agile (pair programming, TDD, CI/CD, etc) practices.
● Automation of data infrastructure and deployments.
● Advocating agile practices to the client organisation.
● Mentoring client team members.
● Helping improve the team and clients’ data capabilities.
Required Skills
● Significant experience working on data pipelines, platforms and projects.
● Experience in developing solutions in one or more of the main Cloud providers (AWS, GCP,
Azure).
● Strong background in at least one programming language, Python or Scala preferable.
● Working with a variety of databases, data warehouses and distributed file systems in production
environments.
● Strong experience in SQL and data modeling.
● Exposure with data processing at scale.
● Knowledge about GDPR and data security. Working with source control and infrastructure as code (Git/Github, Terraform, ansible etc.) and CI/CD tools.
● Understanding and being able to support data scientists or business intelligence teams - in data
prep, mentoring and support functions.
● Strong collaboration and communication skills, including the ability to communicate effectively
while working remotely with globally distributed teams.