Equal Experts

Senior Data Engineer

India · Work style not stated

Posted over 6 months ago: check it’s still open

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerEqual Experts
LocationIndia
Work styleWork style not stated
Employer posted2 years ago

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.

Show full description

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.

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.