# Developer at GSB Solutions

> Onsite · India · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/recruitee%3Agsbsolutions1%3A2509047 (read 2026-11-08).

## Facts (observed)

- Company: [GSB Solutions](https://alderhq.app/companies/gsb-solutions)
- Location text: Hyderabad, Andhra Pradesh, India
- Where it can be done from (inferred): Onsite · India (evidence: "Location lists "hyderabad"")
- Posted: 2026-03-01 (252 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://gsb.lat/o/developer
- Skills listed (inferred): Python, Kafka, AWS, GCP, Azure, Spark, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 11): p25 $68k, median $93k, p75 $126k

## Description (the employer's text)

### Must-Have\*\*

Strong proficiency in Python programming.

Hands-on experience with PySpark and Apache Spark.

Knowledge of Big Data technologies (Hadoop, Hive, Kafka, etc.).

Experience with SQL and relational/non-relational databases.

Familiarity with distributed computing and parallel processing.

Understanding data engineering best practices.

Experience with REST APIs, JSON/XML, and data serialization.

Exposure to cloud computing environments.

5+ years of experience in Python and PySpark development.

Experience with data warehousing and data lakes.

Knowledge of machine learning libraries (e.g., MLlib) is a plus.

Strong problem-solving and debugging skills.

Excellent communication and collaboration abilities.

### Requirements

Develop and maintain scalable data pipelines using Python and PySpark.

Design and implement ETL (Extract, Transform, Load) processes.

Optimize and troubleshoot existing PySpark applications for performance.

Collaborate with cross-functional teams to understand data requirements.

Write clean, efficient, and well-documented code.

Conduct code reviews and participate in design discussions.

Ensure data integrity and quality across the data lifecycle.

Integrate with cloud platforms like AWS, Azure, or GCP.

Implement data storage solutions and manage large-scale datasets.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Agsbsolutions1%3A2509047 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.