Software Engineer

Company: People Impact

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Salary Range: ₹ 18-22 Lacs PA

Job Description We are looking for an experienced Java + Spark Developer with expertise in Core Java, Apache Spark, and Spark Structured Streaming to build scalable, real-time data processing applications. The ideal candidate should have experience with distributed data systems, lakehouse technologies, and cloud-based analytics platforms.

Key Responsibilities

• Develop scalable applications using Core Java and Apache Spark.
• Build real-time data pipelines using Spark Structured Streaming.
• Design and optimize ETL pipelines and analytical data models.
• Work with Delta Lake, Apache Iceberg, or similar lakehouse technologies.
• Optimize SQL queries and Spark jobs for performance.
• Support ML pipelines using Spark MLlib or similar frameworks.
• Implement data governance using Apache Atlas or AWS Lake Formation.
• Collaborate with cross-functional teams and participate in code reviews and technical design discussions.

Required Skills

• 6–11 years of software development experience.
• Strong experience in Core Java and Apache Spark.
• Hands-on experience with Spark Structured Streaming and real-time analytics.
• Strong SQL and data modeling skills.
• Experience with distributed systems and ETL development.
• Knowledge of Spring Boot and Microservices.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with Delta Lake, Apache Iceberg, or other lakehouse formats.
• Exposure to Spark MLlib, MLeap, or machine learning pipelines.
• Experience with Apache Atlas or AWS Lake Formation.
• Familiarity with Kafka, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).

Preferred Certifications

• AWS Certified Data Analytics – Specialty
• Google Professional Data Engineer
• Databricks Certified Associate Developer for Apache Spark

Preferred Candidate Profile

• Strong problem-solving and analytical skills.
• Passion for building scalable, high-performance data solutions.
• Ability to work independently in Agile teams.
• Eagerness to learn emerging Big Data and cloud technologies.