Java/Bigdata Developer

2 weeks ago

Indore, Madhya Pradesh, India ClearTrail Technologies Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Job Description:

We are looking for a highly skilled Big Data Analyst with 3+ years of experience in handling large-scale data processing and analytics. The ideal candidate should have strong technical expertise in Java, SQL, Spark and Hadoop, along with knowledge of distributed computing and working with APIs to integrate and process data efficiently.

You will be working with high-scale data platforms utilizing big data technologies like Hadoop ecosystem and Spark. The role also involves data orchestration with Airflow, supporting the building of Presto/Trino queries. Additionally, you will be responsible for developing and consuming APIs to integrate data sources, automate workflows and facilitate seamless data exchange between systems.

Key Responsibilities:

  • Work with large-scale data processing systems using big data technologies (Hadoop, Spark, Presto/Trino).
  • Develop and optimize Spark jobs for efficient data processing.
  • Build and manage data pipelines with Apache Airflow for data orchestration.
  • Support and optimize Presto/Trino query execution.
  • Implement distributed computing techniques for large-scale data processing
  • Work on big data analytics and data science initiatives to extract insights.
  • Ensure high performance and scalability by applying big data principles.
  • Analyze complex data sets to identify trends, patterns, and anomalies.
  • Integrate and process data using APIs, including RESTful APIs and custom data exchange APIs.
  • Collaborate with cross-functional teams to support business needs and data-driven decision-making.
  • Work within an Agile environment and follow project management best practices.

Required Skills & Qualifications:

  • Strong programming skills in Python/Java, SQL, and Spark.
  • Experience with Hadoop ecosystem (HDFS, Hive, Presto, Trino, etc.).
  • Experience with data orchestration tools like Apache Airflow.
  • Experience in working with APIs for data integration, ingestion and automation
  • Ability to develop, consume and manage RESTful APIs for data exchange
  • Experience with big data analytics, data science, and machine learning is a plus.
  • Familiarity with DevOps for deployment and monitoring in an on-premise big data environment.
  • Strong understanding of big data processing principles and distributed computing.
  • Excellent problem-solving and critical-thinking skills.
  • Ability to work in cross-functional teams and collaborate effectively.
  • Experience working in an Agile environment with project management methodologies.

Preferred Qualifications:

  • Knowledge of containerization (Docker, Kubernetes) for big data applications.
  • Exposure to Graph Processing and Machine Learning on Big Data.
  • Experience in Presto/Trino query optimization.
  • Hands-on experience with on-premise big data solutions

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