Back to jobs

Data Engineer (Immediate Joiner)

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design, develop and maintain scalable data pipelines and ETL/ELT processes

  • Collect, clean, transform and integrate data from multiple sources

  • Develop and optimize SQL queries, database schemas and data models

  • Implement data validation, quality checks and monitoring

  • Maintain technical documentation and ensure data security and reliability

From the employer’s posting
Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
Collect, clean, transform, and integrate data from multiple sources.
Develop and optimize SQL queries, database schemas, and data models.
Implement data validation, quality checks, and monitoring.
Maintain technical documentation and ensure data security and reliability.

What you’ll bring

All qualifications

Core experience

  • Strong knowledge of SQL and database concepts
  • Programming skills in Python
  • Understanding of ETL/ELT pipelines and data warehousing
  • Knowledge of data modeling and database optimization
  • Familiarity with Git and data processing frameworks

Preferred experience

  • Understanding of cloud platforms such as AWS, Azure or GCP
Qualification wording
Strong knowledge of SQL and database concepts.
Programming skills in Python.
Understanding of ETL/ELT pipelines and data warehousing.
Knowledge of data modeling and database optimization.
Familiarity with Git and data processing frameworks.
Understanding of cloud platforms such as AWS, Azure, or GCP is an advantage.

Benefits in the posting

Full benefits wording
  • Perks and Benefits
  • Free Lunch & Snacks, Insurance, and Performance-Linked Incentives (PLI).

From the employer’s posting.

Apply at Spikewell

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 16, 202620 days ago
Recorded sightings
21
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 20

Similar jobs usually come down between day 6 and day 54.

From 11,032 similar postings that came down. Coming down is not always a hire.

Spikewell is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • NoSQL
Where the posting names them
- Strong knowledge of SQL and database concepts. - Programming skills in Python. - Understanding of ETL/ELT pipelines and data warehousing.
- Collect, clean, transform, and integrate data from multiple sources. - Develop and optimize SQL queries, database schemas, and data models. - Work with relational and NoSQL databases.
Requirements - Strong knowledge of SQL and database concepts. - Programming skills in Python.
- Familiarity with Git and data processing frameworks. - Understanding of cloud platforms such as AWS, Azure, or GCP is an advantage. Preferred Candidate
- Develop and optimize SQL queries, database schemas, and data models. - Work with relational and NoSQL databases. - Implement data validation, quality checks, and monitoring.

Your next step

Complete your application on spikewell.zohorecruit.in. The employer’s form will show what is required.

Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Summary

We are looking for a skilled and detail-oriented Data Engineer to design, develop, and maintain data pipelines and infrastructure to support data integration, processing, and analytics.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
  • Collect, clean, transform, and integrate data from multiple sources.
  • Develop and optimize SQL queries, database schemas, and data models.
  • Work with relational and NoSQL databases.
  • Implement data validation, quality checks, and monitoring.
  • Work with cloud platforms and data engineering tools.
  • Collaborate with Data Analysts, Data Scientists, and software development teams.
  • Maintain technical documentation and ensure data security and reliability.


Requirements

  • Strong knowledge of SQL and database concepts.
  • Programming skills in Python.
  • Understanding of ETL/ELT pipelines and data warehousing.
  • Knowledge of data modeling and database optimization.
  • Familiarity with Git and data processing frameworks.
  • Understanding of cloud platforms such as AWS, Azure, or GCP is an advantage.

Preferred Candidate

  • Candidates based in Bhubaneswar who can attend the test at the office.
  • Candidates who are available to join immediately.


Benefits

Perks and Benefits

Free Lunch & Snacks, Insurance, and Performance-Linked Incentives (PLI).



Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Bhubaneswar, India

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.