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Big Data Engineer - AWS Platform

GALAXY I TECHNOLOGIES INC
Hyderabad
8 - 10 Years

Posted on: 30/01/2026

Job Description

Job Title : Big Data Engineer


Loc : Hyderabad (WFO)


Exp : 8+y Mandatory


Job Summary :


We are seeking a highly skilled Big Data Engineer to join a long-term, mission-critical project on a Contract-to-Hire basis.


The ideal candidate will have strong hands-on experience in building and maintaining large-scale data pipelines within modern big data ecosystems.


This role requires deep expertise in Spark, Scala, Python, and AWS, along with exposure to real-time streaming frameworks such as Kafka. The position is based in Hyderabad and requires full-time Work From Office.


Key Responsibilities :


- Design, develop, and maintain scalable and high-performance data pipelines in a big data environment


- Build and optimize batch and real-time data processing workflows using Apache Spark


- Develop data engineering solutions using Scala and Python


- Work extensively on AWS cloud services to support data ingestion, processing, and storage


- Implement and support streaming data pipelines using Kafka or similar frameworks


- Ensure data quality, reliability, and performance across pipelines


- Collaborate with data architects, analysts, and downstream consumers to understand data requirements


- Monitor and troubleshoot production data pipelines and resolve performance or data issues


- Follow best practices related to data security, governance, and compliance


- Participate in code reviews and contribute to continuous improvement initiatives


Required Skills & Qualifications :


- 8+ years of experience as a Big Data Engineer or in a similar data engineering role


- Strong hands-on experience with :


1. Apache Spark


2. Scala


3. Python


- Solid data engineering experience on the AWS Cloud Platform (e.g., S3, EMR, Glue, Redshift, Lambda)


- Good understanding of streaming frameworks, especially Apache Kafka


- Experience designing and maintaining large-scale data pipelines in big data environments


- Strong problem-solving and debugging skills


- Ability to work independently in a fast-paced, on-site environment


Nice to Have :


- Experience with other big data tools (Hive, HDFS, Airflow, etc.)


- Exposure to real-time analytics or event-driven architectures


- Prior experience in long-term Contract-to-Hire engagements


- Strong communication and stakeholder collaboration skills


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