Data Engineer

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Data Engineer

Yalantis Technologies

₹800–₹1,500 / Hour

Location

Bangalore, India

Experience

—

Posted

Jul 11, 2026

Apply by

July 20, 2027

Applicants

0

Early applicantEasy applyContractWork from Officeengineering

Job Description

Data Engineer role focusing on designing, developing, and maintaining scalable ETL pipelines and data solutions in the Hadoop/Spark ecosystem. Opportunity to work with large-scale data processing, Hive, SQL, and coordination with analytics teams. Immediate joiners preferred with notice period considerations.

Key Responsibilities

  • Design, develop, and maintain scalable ETL pipelines for large-scale data processing
  • Build and optimize big data solutions using Apache Spark and the Hadoop ecosystem
  • Develop and optimize Hive tables, queries, and data models
  • Process structured and unstructured data from multiple sources
  • Optimize Spark jobs and Hive queries for high performance and scalability
  • Ensure data quality, integrity, and consistency across data platforms
  • Collaborate with Data Analysts, Data Scientists, and business stakeholders to deliver robust data solutions
  • Troubleshoot and resolve data pipeline issues while implementing best practices for performance tuning and automation
  • Document technical designs, workflows, and ETL processes

Requirements

  • 6+ years of experience in data engineering or related field
  • Strong expertise in Apache Spark, Hadoop, Hive, ETL, and SQL
  • Experience designing and maintaining large-scale data pipelines
  • Ability to optimize data processing for performance and scalability
  • Good understanding of data quality, governance, and data modeling
  • Excellent collaboration with cross-functional teams and stakeholders

Skills Required

HiveSQLHadoopETLApache Spark

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