- Strong proficiency in Python or Java.
- Experience in Python-based data extraction and logic development.
- Hands-on experience with Apache Kafka, Apache Spark, ANSI SQL, and FTP.
- Experience in on-premises to AWS cloud migration.
Data Formats
- Robust understanding of JSON, Avro, and Parquet file formats.
Platforms & Technologies
- Experience with Hadoop (HDFS/Hive).
- Hands-on experience with Snowflake, Apache Iceberg, and Sybase IQ.
Data Modeling & Architecture
- Understanding of data normalization and denormalization techniques.
- Knowledge of natural keys and surrogate keys and their strategic use in data modeling.
Key Responsibilities
- Develop and maintain data extraction and transformation pipelines.
- Build scalable data processing solutions using Apache Spark and Kafka.
- Work with structured and semi-structured data formats.
- Support on-premises to AWS cloud migration projects.
- Design and optimize SQL queries for efficient data processing.
- Implement data modeling strategies using normalization, denormalization, and appropriate key selection.
- Work with Hadoop, Snowflake, Apache Iceberg, and Sybase IQ platforms
Salary: 15 - 20 INR Per annum
📌 Data Engineer (Bengaluru)
🏢 N Consulting
📍 Bengaluru
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