Data Engineer

🚀 Data Engineer | 8+ Years | Pune & Trivandrum | Immediate Joiners Preferred

About the Role

Data Engineer

This is an excellent opportunity to design and deliver large-scale data solutions, build cutting-edge pipelines, and work on real-world analytics challenges.

serving notice periods

📍 Location:

🧭 Experience:

💼 Employment Type:

📩 Apply at:

🔧 Key Skills

• ETL Development – Python, PySpark
• Cloud Technologies – Azure (preferred) / AWS
• SQL & NoSQL (Cassandra, MongoDB)
• Hadoop, Spark, Hive, HBase, Kafka
• ELK Stack
• Linux, Data Modeling, Performance Tuning

🧠 Roles & Responsibilities

• Design and develop

  scalable data solutions

  using big data technologies.
• Analyze and organize raw data from diverse sources to build

  data systems and pipelines

  .
• Collaborate with stakeholders to define

  business objectives

  and maintain optimal pipeline architecture.
• Understand project environments, platforms, and dependencies to ensure seamless integration.
• Assemble

  large, complex data sets

  that meet functional and non-functional requirements.
• Develop

  analytics tools

  and frameworks to drive insights on business performance.
• Implement and optimize

  data ingestion, transformation, and processing workflows

  .
• Work with Hadoop ecosystem tools like

  Spark, Hive, HBase, Kafka

  , and ELK stack.
• Leverage cloud (Azure/AWS) services for deployment, data storage, and automation.
• Troubleshoot, debug, and optimize pipelines for

  high performance and scalability

  .
• Collaborate across teams to ensure production stability and

  support data operations

  .
• Participate in code reviews, architecture discussions, and agile delivery cycles.
• Document technical solutions and maintain best practices across environments.

🎯 Desired Candidate Profile

• 8+ years of experience in

  data engineering, ETL, or big data development

  .
• Proven experience in

  building and deploying end-to-end data pipelines

  .
• Strong programming background in

  Python and PySpark

  .
• Exposure to

  NoSQL databases

  and real-time streaming tools.
• Hands-on experience with

  Azure Data Factory / AWS Glue / Databricks

  is a plus.
• Excellent understanding of

  Linux OS

  , database design, and data modeling principles.
• Candidates

  currently serving notice periods

  or available to

  join within 10–15 days

  will be given preference.

💬 How to Apply

pratik.chavan@claidroid.com

📌 Please mention “Data Engineer – Pune/Trivandrum” in the subject line.