Data Engineer Pan India Hybrid

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

Location: Pan India
Mode: Hybrid General Shift (09:00 AM 06:15 PM)
Experience: 6 Years

Role Overview

We are seeking a skilled Data Engineer with strong experience in building scalable data platforms and ETL pipelines. The ideal candidate will work on consolidating processing and optimizing large-scale datasets to enable analytics and real-time insights for retail business use cases.

Key Responsibilities
  • Design develop and maintain robust ETL/ELT pipelines for structured and unstructured data

  • Build and manage scalable data lakes data warehouses and databases

  • Integrate and consolidate data from multiple heterogeneous sources into a unified data model

  • Perform data cleansing validation enrichment and standardization to ensure high data quality

  • Optimize data storage structures for efficient querying and analytics

  • Migrate manage and optimize data systems on cloud platforms (AWS)

  • Tune databases and data processing jobs for performance and cost efficiency

  • Implement data governance integrity privacy and compliance policies (e.g. GDPR)

  • Develop pipelines and frameworks to support near real-time and real-time data processing

  • Automate data workflows and operational processes for reliability and scalability

Mandatory Skills
  • ETL pipeline development

  • Big Data technologies

  • Python (PySpark)

  • SQL

  • Cloud platforms: AWS

  • Python libraries: Pandas NumPy Scikit-learn Regex

  • Databases: Amazon Redshift PostgreSQL

Desired Skills
  • Experience in Retail domain data models and analytics

  • Exposure to data governance and compliance frameworks

Location: Pan India Mode: Hybrid General Shift (09:00 AM 06:15 PM) Experience: 6 Years Role Overview We are seeking a skilled Data Engineer with strong experience in building scalable data platforms and ETL pipelines. The ideal candidate will work on consolidating processing and optimizing larg...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala