Senior Software Development Engineer— Data and Analytics

Winwire Technologies; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Winwire Technologies is seeking a Senior Software Development Engineer specializing in Data and Analytics. The ideal candidate will develop optimized Spark jobs and implement robust ETL/ELT pipelines using Databricks, ensuring effective solutions for client requirements.

Applicants should have substantial experience with Data Engineering and Cloud Platforms, particularly in designing data pipelines, optimizing performance, and working with various tools including AWS Glue and terraform. A collaborative team spirit and strong problem-solving skills are essential.

Qualifications

• 5+ years of experience in relevant fields.
• Strong hands-on experience with Databricks.
• Experience designing data ingestion pipelines.

Responsibilities

• Develop optimized Spark jobs for data processing.
• Implement ETL/ELT pipelines using Databricks.
• Monitor cloud resource utilization and optimize costs.

Skills

Data Engineering

Big Data

Cloud Data Platforms

Databricks

Python

GitHub

Tools

Terraform

CloudFormation

Spark

AWS Glue

Job description

Senior Software Development Engineer— Data and Analytics

Experience: 5–7 years

Location: Hyderabad/Bangalore

Role Summary

The ideal candidate should be able to handle complete architecture, solutioning and handle client calls effectively. Understanding customer requirements and providing appropriate solutions.

What You’ll Do

• Solution Development
  Develop optimized Spark jobs (PySpark/Scala) with strong performance tuning practices.
  Implement ETL/ELT pipelines using Databricks notebooks, Workflows, and Glue Jobs.
  Integrate data from multiple sources into ADLS / S3 with appropriate security and metadata management.

• Cloud Infrastructure & Security
  Work with Terraform/CloudFormation for infrastructure automation (preferred).
  Monitor cloud resource utilization and optimize cost.

Must-Have Skills

• 4+ years of experience in Data Engineering, Big Data, or Cloud Data Platforms
• 4+ years hands‑on experience with Databricks (PySpark/Scala, Delta Lake, Lakehouse architecture)
• 4+ years’ experience with Databricks (RBAC, ACLs, hierarchical namespaces)
• 3+ years’ experience designing data ingestion and transformation pipelines using Spark-based frameworks.
• 3+ years’ experience in AWS Glue (Glue ETL jobs, Workflows, Crawlers, Glue Catalog).
• 3+ years’ experience in Athena, spark and python scripts.
• Experience with version control systems with GitHub.
• Exposure to GitHub pipelines.
• Knowledge of performance optimization techniques.
• Support the overall development and unit testing, system testing, and deployment of the solution.
• Ensure smooth handover to operations and support teams.
• Ensure proper integration with existing systems, data sources, and third‑party services.

Tech Stack

Databricks (PySpark/Scala, Delta Lake, Lakehouse architecture), AWS Glue (Glue ETL jobs, Workflows, Crawlers, Glue Catalog), python scripts.