Sr. Data Engineer

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Experience

: 3.00 + 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 AlchemyDatalogz is Looking for:

Sr Data Engineer

Position Overview

We are looking for a

Data Engineer

to join our growing engineering team and helpshape the core data infrastructure that powers the Datalogz platform. You will beresponsible for building and maintaining reliable, scalable data pipelines thatintegrate 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’llwork closely with backend engineers, product managers, and data scientists todeliver trusted, analytics-ready data that drives product insights and customeroutcomes.

Our Team

We’re a fast-growing, culture-focused, venture-backed startup redefining howenterprises understand and optimize their BI environments. We foster anenvironment where engineers take ownership, challenge assumptions, and buildwith impact — transforming the way organizations see and govern their data.

Key Responsibilities

Design, build, and maintain data ingestion and transformation pipelines

thatunify data across BI tools and sources.Develop and optimize workflows using

Airflow (MWAA)

, ensuring reliabilityand efficiency across ETL jobs.Use

DBT

and

SQL

to model data and create scalable, maintainabletransformations for analytics and lineage insights.Collaborate with backend and product teams to ensure data quality, schemadesign, and integration with customer-facing systems.Sr Data Engine1Work with large datasets stored in

Snowflake

and

PostgreSQL

, focusing onperformance, normalization, and maintainability.Build internal frameworks for

metadata tracking, lineage extraction, and

connector performance analytics.

Participate in defining data architecture and governance standards thatimprove data accessibility, reliability, and compliance.Troubleshoot, optimize, and document ETL processes to support long-termmaintainability.

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 andmaintaining ETL pipelines.Experience with

DBT

,

Airflow (MWAA)

, and modern data orchestration tools.Hands-on experience with

Snowflake

,

PostgreSQL

, or equivalent cloud datawarehouses.Familiarity with

metadata management

,

data lineage

, or

analytics

observability

concepts.Understanding of

data modeling best practices

, schema evolution, and datavalidation.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 competitivecompensation, equity, and benefits — and the opportunity to make a real impact ina rapidly scaling company.Sr Data Engine2A vibrant and innovative team culture that values creativity, ownership, andimpact.Competitive salary, comprehensive medical/dental/vision benefits, and equityoptions.Opportunities for professional growth, mentorship, and cross-functionalcollaboration.Flexible working hours and a remote-first culture built on trust andaccountability.Join us at

Datalogz

and help build the pipelines and data systems that make thefuture of BI observability possible. If you’re passionate about crafting scalabledata 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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