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Senior Software Engineer - Big Data Platform

Senior Software Engineer - Big Data Platform

TalproBangalore
30+ days ago
Job description

Description : About the Role :

We are seeking an experienced Senior Software Engineer (Big Data Platform Engineer) to design, develop, and optimize large-scale data processing systems.

The ideal candidate will have strong expertise in distributed data frameworks, data pipelines, and cloud-based big data platforms, with the ability to translate complex business requirements into efficient, scalable solutions.

This role will start as an Individual Contributor (IC) with potential to move into a Team Lead position after 56 months based on performance.

Key Responsibilities :

  • Design, build, and maintain Big Data pipelines and data lake architectures supporting high-volume data ingestion, processing, and analytics.
  • Develop scalable data solutions using Spark, Hadoop, Hive, Kafka, and Airflow (or equivalent).
  • Implement ETL / ELT workflows to manage data extraction, transformation, and loading from multiple sources.
  • Collaborate with data scientists, analysts, and engineering teams to optimize data availability and reliability.
  • Ensure data security, performance tuning, and compliance with governance policies.
  • Deploy and manage data workloads on Cloud environments (AWS, Azure, or GCP).
  • Troubleshoot production issues, perform root cause analysis, and continuously enhance system performance.

Requirements :

  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • 5- 10 years of experience in Big Data Engineering / Data Platform Development.
  • Strong programming skills in Python, Scala, or Java.
  • Hands-on experience with Spark, Hadoop, Hive, Kafka, Airflow, HBase, or similar tools.
  • Solid understanding of data lake architecture, data warehousing concepts, and ETL / ELT design.
  • Experience with Cloud-based data platforms (AWS Glue, EMR, Redshift, GCP BigQuery, or Azure Synapse).
  • Strong problem-solving, debugging, and performance optimization skills.
  • Excellent communication and collaboration abilities.
  • Preference for stable career track (no frequent job changes)
  • (ref : hirist.tech)

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