Experience: 4–10 Years

Location: Remote / On-site / Hybrid

Employment Type: Full-time / Contract

Job Description

We are looking for an experienced Big Data Engineer to design, build, and maintain scalable data pipelines and big data platforms. The role focuses on processing large volumes of structured and unstructured data to support analytics, reporting, and data science initiatives.

Key Responsibilities

Design, develop, and maintain large-scale data pipelines
Build and optimize ETL/ELT processes for high-volume data ingestion
Work with big data frameworks and distributed systems
Ensure data quality, reliability, and performance
Collaborate with data scientists, analysts, and software engineers
Implement data security, governance, and compliance standards
Monitor and troubleshoot data pipelines and workflows
Optimize data storage and processing costs
Stay updated with big data technologies and best practices

Required Skills & Qualifications

Strong experience with big data technologies (Hadoop, Spark, Hive, Kafka)




Proficiency in programming languages such as Python, Scala, or Java
Experience with SQL and NoSQL databases
Hands-on experience with data streaming and real-time processing
Experience with cloud platforms (AWS, Azure, GCP)
Knowledge of data warehousing and data lakes
Familiarity with workflow orchestration tools (Airflow, Oozie)
Strong problem-solving and analytical skills

Preferred Qualifications

Experience with cloud-native big data services (EMR, Databricks, BigQuery, Synapse)
Knowledge of Delta Lake, Iceberg, or Hudi
Experience with containerization and Kubernetes
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

What We Offer

Opportunity to work on large-scale, data-intensive systems
Exposure to modern big data and cloud technologies
Competitive compensation and perks
High-impact role with ownership and growth opportunities
Collaborative and data-driven work environment

📌 Big Data Engineer (Hyderabad)
🏢 eazygurus IT Training
📍 Hyderabad