Sr. Data Engineer

2 days ago


Indore, Madhya Pradesh, India Uplers Full time

Experience
: years

Salary
: Confidential (based on experience)

Expected Notice Period
: 15 Days

Shift
: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type
: Remote

Placement Type
: Full Time Permanent position(Payroll and Compliance to be managed by: Datalogz)

**(*Note: This is a requirement for one of Uplers' client - Datalogz)

**What do you need for this opportunity?

Must have skills required:
Power BI, SQL Alchemy

Datalogz is Looking for:*
*Sr Data Engineer
Position Overview
We are looking for a
Data Engineer
to join our growing engineering team and help

shape the core data infrastructure that powers the Datalogz platform. You will be

responsible for building and maintaining reliable, scalable data pipelines that

integrate metadata and usage information from leading BI platforms such as

Tableau, Power BI, Qlik, and Spotfire
.

This role is ideal for someone who loves working with complex datasets,

optimizing performance, and ensuring data consistency across systems. You'll

work closely with backend engineers, product managers, and data scientists to

deliver trusted, analytics-ready data that drives product insights and customer

outcomes.

Our Team
We're a fast-growing, culture-focused, venture-backed startup redefining how

enterprises understand and optimize their BI environments. We foster an

environment where engineers take ownership, challenge assumptions, and build

with impact — transforming the way organizations see and govern their data.

Key Responsibilities
Design, build, and maintain data ingestion and transformation pipelines
that

unify data across BI tools and sources.

Develop and optimize workflows using
Airflow (MWAA)
, ensuring reliability

and efficiency across ETL jobs.

Use
DBT
and
SQL
to model data and create scalable, maintainable

transformations for analytics and lineage insights.

Collaborate with backend and product teams to ensure data quality, schema

design, and integration with customer-facing systems.

Sr Data Engine

1Work with large datasets stored in
Snowflake
and
PostgreSQL
, focusing on

performance, normalization, and maintainability.

Build internal frameworks for
metadata tracking, lineage extraction, and
connector performance analytics.
Participate in defining data architecture and governance standards that

improve data accessibility, reliability, and compliance.

Troubleshoot, optimize, and document ETL processes to support long-term

maintainability.

Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, or
related field
preferred.

3–6 years
of experience as a
Data Engineer
or in a similar data-focused role.

Strong proficiency in
SQL
and
Python
, with experience building and

maintaining ETL pipelines.

Experience with
DBT
,
Airflow (MWAA)
, and modern data orchestration tools.

Hands-on experience with
Snowflake
,
PostgreSQL
, or equivalent cloud data

warehouses.

Familiarity with
metadata management
,
data lineage
, or
analytics
observability
concepts.

Understanding of
data modeling best practices
, schema evolution, and data

validation.

Exposure to
BI platforms
(Tableau, Power BI, Qlik, or Spotfire) is a strong plus.

Excellent communication and collaboration skills; comfortable working in a

remote-first, fast-paced startup
environment.

What We Offer
We believe great talent deserves great rewards. That's why we offer competitive

compensation, equity, and benefits — and the opportunity to make a real impact in

a rapidly scaling company.

Sr Data Engine

2A vibrant and innovative team culture that values creativity, ownership, and

impact.

Competitive salary, comprehensive medical/dental/vision benefits, and equity

options.

Opportunities for professional growth, mentorship, and cross-functional

collaboration.

Flexible working hours and a remote-first culture built on trust and

accountability.

Join us at
Datalogz
and help build the pipelines and data systems that make the

future of BI observability possible. If you're passionate about crafting scalable

data architecture and making data work smarter — we'd love to hear from you

How to apply for this opportunity?

  • Step 1: Click On Apply And Register or Login on our portal.
  • Step 2: Complete the Screening Form & Upload updated Resume
  • Step 3: Increase your chances to get shortlisted & meet the client for the Interview

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you


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