Big Data Solutions Specialist

15 hours ago


Delhi, Delhi, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
Big Data Engineer Opportunity

We are seeking an experienced Big Data Engineer to join our team. As a key member of our data engineering team, you will play a crucial role in designing and developing scalable data pipelines, processing systems, and workflows.

About the Role

The ideal candidate will have hands-on experience with big data technologies such as Hadoop, Spark, Hive, Kafka, Flink, or Presto. You should also be proficient in programming languages like Python, Java, or Scala, and have experience with cloud-based data platforms.

Your skills and qualifications:

  • Hands-on experience with big data technologies (3+ years)
  • Proficiency in programming languages like Python, Java, or Scala
  • Experience with cloud-based data platforms (AWS EMR, GCP BigQuery, Azure Data Lake)
Key Responsibilities

You will be responsible for:

  • Designing and developing scalable data pipelines using big data technologies
  • Building data integration workflows for structured and unstructured data sources
  • Implementing ETL/ELT processes for real-time and batch processing
  • Optimizing data processing jobs for performance, scalability, and fault tolerance
  • Ensuring data quality, security, and governance throughout the data lifecycle
Requirements

To succeed in this role, you should have:

  • 3+ years of hands-on experience in Big Data engineering
  • Strong understanding of SQL, data modeling, and query optimization
  • Experience with workflow orchestration tools like Airflow, Luigi, or Dagster
What We Offer

We offer:

  • Flexible remote work options
  • Performance-based culture
  • Opportunity to architect data solutions for cutting-edge applications
Bonus

As a Big Data Engineer, you'll work on high-volume data infrastructure projects with global companies, collaborate with analytics and engineering teams, and have access to the HYI.AI network for collaboration, growth, and career advancement.



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