Senior Data Platform Engineer

Jero Technologies; Hyderabad, Bengaluru, Delhi; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Jero Technologies in Hyderabad, India is looking for an experienced Data Engineer to join our data platform team. You will design and maintain large-scale data pipelines, leverage Databricks and Spark, and collaborate with analytics and product teams to translate business needs into robust data solutions.

The role requires 4–6+ years in data engineering, strong Python and SQL skills, and a solid understanding of cloud-native architectures, governance, and best practices for reliable, scalable

Qualifications

• 4+ years of experience in data engineering, data platform, or similar roles.
• Hands-on Databricks and Spark expertise, including PySpark/Scala, Delta Lake, and job scheduling/workflows.
• Proficient in Python and SQL; strong knowledge of distributed data processing and metadata management.
• Experience building large-scale data pipelines (batch and streaming).
• Experience with cloud storage/compute on AWS/Azure/GCP (S3/ADLS, networking, permissions).
• Understanding of data governance, security, access controls, and compliance considerations.
• Write clean, documented code with testing and version control practices.

Skills

Data engineering

Databricks / Spark

Python

SQL

Distributed data processing

Data pipelines (batch & streaming)

Cloud platforms (AWS / Azure / GCP)

Data governance & security

Code quality & version control

Tools

Delta Lake

Databricks

Job description

• 4-6+ years of experience in data engineering, data platform, or similar roles
• Strong hands-on expertise with Databricks: Spark (PySpark / Scala), Delta Lake, job scheduling/workflows, data transformations
• Proficiency in Python, SQL, and strong understanding of distributed data processing, storage formats, metadata management
• Experience building/maintaining large-scale data pipelines (batch + streaming)
• Familiarity with cloud platforms (e.g, AWS, Azure, GCP): storage (S3/ADLS), compute, networking, permissions, and cloud-native data architecture
• Understanding of data governance, security, access controls, and data compliance considerations
• Ability to write clean, maintainable, well-documented code; follow best practices, testing, version control.