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Big Data Engineer @ Brillio

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 Big Data Engineer

Job Description

Job Title: Big Data Engineer

Role Overview

We are seeking a highly skilled Big Data Engineer to join our team.The ideal candidate will have strong experience in building, maintaining, and optimizing large-scale data pipelines and distributed data processing systems. This role involves working closely with cross-functional teams to ensure the reliability, scalability, and performance of data solutions.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Work with large datasets using Hadoop ecosystem tools (Hive, Spark).
  • Build and optimize real-time and batch data processing solutions using Kafka and Spark Streaming.
  • Write efficient, high-performance SQL queries to extract, transform, and load data.
  • Develop reusable data frameworks and utilities in Python.
  • Collaborate with data scientists, analysts, and product teams to deliver reliable data solutions.
  • Monitor, troubleshoot, and optimize big data workflows for performance and cost efficiency.

Must-Have Skills

  • Strong hands-on experience with Hive and SQL for querying and data transformation.
  • Proficiency in Python for data manipulation and automation.
  • Expertise in Apache Spark (batch and streaming).
  • Experience working with Kafka for streaming data pipelines.

Good-to-Have Skills

  • Experience with workflow orchestration tools (Airflow, Oozie, etc.).
  • Knowledge of cloud-based big data platforms (AWS EMR, GCP Dataproc, Azure HDInsight).
  • Familiarity with CI/CD pipelines and version control (Git).

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DBA / Data warehousing
Role: DBA / Data warehousing - Other
Employement Type: Full time

Contact Details:

Company: Brillio
Location(s): Pune

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Keyskills:   Hive Hadoop Kafka Spark SQL Python

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