Data Engineer

SoftMaji; Lucknow; On-site; INR 600,000 - 1,400,000; Full time

Benefits offered by this job

Competitive pay

Certification support

Professional development

SaaS data projects

Cloud exposure

Senior path

Job summary

SoftMaji is seeking a Data Engineer in Lucknow to build and maintain reliable data systems. You will collect, process and store data from web, mobile, and SaaS sources, collaborating with development and product teams.

Key tasks include designing pipelines, optimizing queries, and ensuring data accuracy. The role offers exposure to cloud platforms and large-scale data projects with growth towards senior roles.

Qualifications

• 2 to 5 years of practical Data Engineering or Backend Data experience.
• Strong SQL, Python and database knowledge.
• Experience building practical data projects.

Responsibilities

• Design and maintain data pipelines.
• Collect and process data from applications and APIs.
• Work with MySQL, PostgreSQL and other databases.
• Build systems for data cleaning and transformation.
• Develop reports and data processing services.
• Improve database performance and query efficiency.
• Handle large volumes of application data.
• Build scheduled and automated data processes.
• Maintain data accuracy and consistency.
• Work with developers to design proper database structures.
• Implement data backup and recovery processes.
• Monitor data pipelines and resolve failures.

Skills

Strong SQL

MySQL

PostgreSQL

Python

Database design

REST APIs

ETL/ELT

Git/GitHub

Linux basics

Data structures

Problem solving

Tools

Redis

Elasticsearch/OpenSearch

Apache Kafka

Airflow

Docker

BigQuery

AWS/GCP/Azure

Power BI

Job description

Location: Lucknow, Uttar Pradesh
Job Type: Full Time
Experience: 2 to 5 Years
Salary: ₹6 LPA to ₹14 LPA

Job Description

We are looking for a Data Engineer to build and maintain reliable systems for collecting, processing, storing and using business data.

You will work with our development and product teams to manage data generated by web applications, mobile applications and SaaS products.

Key Responsibilities

• Design and maintain data pipelines
• Collect and process data from applications and APIs
• Work with MySQL, PostgreSQL and other databases
• Build systems for data cleaning and transformation
• Develop reports and data processing services
• Improve database performance and query efficiency
• Handle large volumes of application data
• Build scheduled and automated data processes
• Maintain data accuracy and consistency
• Work with developers to design proper database structures
• Implement data backup and recovery processes
• Monitor data pipelines and resolve failures

Required Skills

• Strong SQL knowledge
• MySQL or PostgreSQL
• Python
• Database design and optimisation
• REST APIs
• ETL / ELT concepts
• Data cleaning and transformation
• Git and GitHub
• Linux basics
• Good understanding of databases and data structures
• Strong problem-solving skills

Good to Have

• Redis
• Elasticsearch / OpenSearch
• Apache Kafka
• Airflow
• Docker
• BigQuery
• AWS / Google Cloud / Azure
• Data warehouse concepts
• Power BI or similar reporting tools
• Experience with large datasets

Who Can Apply

Candidates with 2 to 5 years of practical Data Engineering or Backend Data experience can apply.

Candidates with strong SQL, Python and database knowledge who have built practical data projects are also encouraged to apply.

Perks & Benefits

• Competitive salary with performance-based growth
• Learning and certification support
• Access to professional development tools
• Work with real SaaS and business data
• Exposure to cloud and enterprise data systems
• Opportunity to work on large-scale applications
• Technical training and career growthProject ownership
• Opportunity to progress toward Senior Data Engineer / Data Engineering Lead

What We Are Looking For

Someone who can work with data carefully, build reliable data systems and understand how data moves from an application to a useful business result.