Big Data Developer

Amantya Technologies is a leading product engineering and software development company, renowned for delivering top-notch solutions with exceptional speed. With a robust technical ecosystem and strong partnerships with OEMs, we ensure the highest quality software products in the shortest possible time. As a boutique software services firm, we specialize in niche domains, solutions, and technologies. Our expertise lies in wireless technologies, 5G, the Internet of Things (IoT), cloud computing, automotive solutions, and AI/ML. Backed by cutting-edge technologies, we prioritize effectiveness and quality throughout the product engineering journey.
Disclaimer: We solely own www.amantyatech.com and have no ownership rights over any other domains. Any claims suggesting otherwise are false and unauthorized
Roles And Responsibilities :-
Skills: Hadoop, Big Data, Jyupiter/Databricks Notebook, hive, Pyspark, SQL – 5-8 Years

• Knowledge related to Hadoop.
• Experienced in back‐end programming, specifically Java, Spark/Scala or PySpark, Kafka.
• Experience of Hadoop, Hive, Pig, HBase and ApacheNifi.
• Good Experience in Delta Lake
• Perform analysis of vast data stores and uncover insights using Jupiter notebooks or Databricks notebooks
• Good knowledge of database structures, theories, principles, and practices.
• Ability to write MapReduce jobs.
• Analytical and problem-solving skills
• High‐performance, reliable and maintainable code writing skills.
• Good aptitude in multi‐threading and concurrency concepts.

Big Data Developer who can program Hadoop applications in the Big Data domain.

• Designing, building, installing, configuring, and supporting Hadoop
• Maintain security and data privacy
• High‐speed querying.
• Proposing design changes and suggestions to processes and products
• Managing and deploying HBase, Hive, Databricks.
• Hadoop development and implementation.
• Working on disparate data sets.
• Create scalable and high‐performance web services for data tracking.

Good to have:

• Knowledge on Databricks
• Knowledge on Jyupiter and/or Databricks Notebooks