Data Engineer

InfoBeans

Pune City

Hybrid

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

A leading digital transformation company is seeking a skilled Python Data Engineer with 8+ years of experience. The ideal candidate will have a strong proficiency in Python, PySpark, and SQL, and will collaborate on building robust data solutions. This role is a full-time, mid-senior level position based in Pune or Indore, offering a hybrid work model. Opportunities for innovation and collaboration are abundant in this dynamic environment.

Qualifications

8+ years of experience in Data Engineering or relevant field.
Proficiency in Python and PySpark.
Strong SQL skills with experience in large datasets.
Experience with cloud data platforms (Azure, AWS, or GCP).

Responsibilities

Design, develop, and maintain Python and PySpark solutions.
Write complex SQL queries for data transformation and analysis.
Build scalable and reusable code frameworks.
Collaborate with stakeholders to deliver impactful solutions.
Implement best practices in data engineering.

Skills

Python

PySpark

SQL

Databricks

Azure Data Factory

Education

Bachelor's degree in Computer Science or related field

Job description

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Talent Acquisition Specialist | Strategic Recruiter | People Partner | HR

Job Role - Python Data Engineer

Experience Required - 8+ Years

Mandate Skills - Python, Pyspark and Databricks

Location - Indore or Pune (Hybrid)

Overview:

We are seeking a highly skilled Python and PySpark Data Engineer who is passionate about building robust data solutions from the ground up. The ideal candidate should have a deep understanding of core programming concepts, be highly proficient in Python and PySpark, and possess strong SQL skills. We're looking for someone who thinks out of the box, understands the value of reusable and scalable solutions, and is comfortable working in dynamic, fast-paced environments. Experience with Databricks and Azure Data Factory (ADF) is needed.

Responsibilities:

Design, develop, and maintain Python and PySpark.

Write complex SQL queries for data transformation, validation, and analysis.

Build scalable, reusable code frameworks with a dynamic and modular mindset.

Develop solutions from scratch with clean, well-documented code.

Optimize and refactor existing code for better performance and scalability.

Collaborate closely with data engineers, analysts, and business stakeholders to deliver impactful solutions.

Implement best practices in data engineering, coding standards, and deployment.

Work with Databricks and ADF to orchestrate and manage data workflows.

Requirements:

Strong foundational knowledge and hands-on experience in Python and PySpark.

Proficiency in SQL and experience working with large datasets.

Demonstrated ability to code from scratch, not just maintain or tweak existing codebases.

Ability to think innovatively and approach problems with a solution-oriented mindset.

Understanding of reusable design patterns and dynamic solutioning.

Experience working with Databricks and Azure Data Factory (ADF).

One of the cloud data platforms (Azure, AWS, or GCP) is required

Bachelor's degree in Computer Science, Engineering, or a related field.

About InfoBeans:

InfoBeans is a global digital transformation and product engineering company, enabling businesses to thrive through innovation, agility, and cutting-edge technology solutions. With over 1,700 team members across the globe, we specialize in custom software development, enterprise solutions, cloud, AI/ML, UX, automation, and digital transformation services.

At InfoBeans, we live by our core purpose of “Creating WOW!”—for our clients, team members, and the community. Our collaborative culture, growth opportunities, and people-first approach make us one of the most trusted and rewarding workplaces.

Link: https://infobeans.ai/

Seniority level