Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.

At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity

How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.

We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Description

Looking for a Big Data Developer to develop, maintain, and optimize our big data solutions. The ideal candidate will have strong expertise in Java, Spark, API development, and a deep understanding of data engineering and big data tools.

Key Responsibilities:

Design, develop, and maintain big data solutions using Java and Apache Spark.
Develop and manage APIs/workflow for data ingestion, processing, and extraction.
Collaborate with other stakeholders to understand data requirements and deliver efficient solutions.
Optimize and tune big data workflows for performance and scalability.
Implement data engineering best practices to ensure data quality, integrity, and security.
Work with big data tools and technologies such as Hadoop, HDFS, Hive, HBase, Kafka, and others as needed.
Troubleshoot and resolve issues related to data processing and workflows.
Stay updated with the latest trends and advancements in big data technologies and tools.

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