Technical Lead (Spark, Kafka) || RR/467/2024 || 8 - 10 Years

Bengaluru, India

Job Roles and Responsibilities:

  • Experienced in developing big data technologies like Spark, Scala, Hive, Hadoop, Scoop, Python etc.
  • Understands different data models like normalized, de-normalized, stars, and snowflake models.
  • Has working experience using Parquet, CSV, JSON and other file formats in Spark/Scala
  • Good understanding of Scala and Java.
  • Good understanding of data-structure and algorithms.
  • Spark/Scala performance tuning and debugging.
  • Experience in writing and troubleshooting T-SQL statements, creating stored procedures, views, SQL functions, Packages, Triggers and Scheduler.
  • Strong SQL coding experience with performance optimization experience for data queries.
  • Ensure design and development standards are current and being followed.
  • Create complex reporting solutions for multiple business areas.
  • Develop scalable solutions to meet business needs.
  • Performance optimization of data queries.
  • Experience in handling streaming data would be an added advantage.
  • Working experience in healthcare domain project would be an added advantage.
  • Experience on Spring Boot will have added advantage.
  • Understand and interpret the business requirements.
  • Good communication and collaboration skills.
  • Strong critical / analytical thinking and problem-solving skills.

 

Shift Timings – 11AM to 9PM IST

Location – Bengaluru/Noida/Hyderabad

Work Mode - Hybrid 

Notice Period - 0 to 30 Days

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data CSV Hadoop Java JSON Kafka Parquet Python Scala Snowflake Spark SQL Streaming T-SQL

Region: Asia/Pacific
Country: India
Job stats:  1  0  0
Category: Leadership Jobs

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