Experience: 4–10 Years Location: Remote / On-site / Hybrid Employment Type: Full-time / Contract 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 Solid 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 benefits

High-impact role with ownership and growth opportunities

Team-oriented and data-driven work environment

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