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Data Engineer - Big Data Technologies

0 years

0 Lacs

Gurugram Haryana India

Posted:17 hours ago| Platform: Linkedin logo

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Skills Required

data processing analytics aws hadoop pipeline design etl hive spark sql reliability monitoring devops deployment scheduling support power apache programming linux talend visualization learning technology debugging agile communication collaboration

Work Mode

On-site

Job Type

Full Time

Job Description

About The Role

We are actively hiring a seasoned Data Engineer to join our data platforms team in Gurugram.This role offers an exciting opportunity to work on large-scale data processing systems, cloud platforms, and analytics solutions.The ideal candidate will have strong hands-on experience with AWS, Hadoop ecosystem tools, and data pipeline orchestration.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using AWS and Big Data technologies.
  • Implement ETL workflows using Hive, Spark, and other data transformation tools.
  • Optimize SQL queries and work with large-scale data in Hadoop and cloud data lakes.
  • Work closely with data scientists, analysts, and business stakeholders to understand requirements and translate them into technical solutions.
  • Ensure data reliability, quality, and availability through proactive monitoring and automation.
  • Collaborate with DevOps and cloud teams for deployment and version control using Git.
  • Manage workflows and job scheduling using tools like Control-M and Airflow.
  • Support and monitor data systems using tools such as Sumologic and Splunk.
  • Create dashboards and visualizations using Power BI as needed.

Mandatory Skills

  • Proficiency in AWS data services (e.g., S3, EMR, Glue, Redshift)
  • Strong experience with Hadoop, Apache Spark, Hive
  • Advanced SQL programming and performance tuning
  • Familiarity with Linux-based environments

Good To Have Skills

  • ETL tools : Talend, Shell Scripting
  • Scheduling tools : Control-M, Apache Airflow
  • Monitoring tools : Sumologic, Splunk
  • Visualization : Power BI
  • Basic understanding of Machine Learning workflows and concepts

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
  • Excellent problem-solving and debugging skills
  • Experience working in Agile environments
  • Strong communication and collaboration abilities
(ref:hirist.tech)

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