Big Data - Senior Engineer
Iris Software (company site, opens in a new tab)5–8 yrsNoidaOn-siteDirect career pageEst. 12–22 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable Big Data solutions using Apache Spark, Hadoop, Azure Databricks, and Lakehouse technologies.
- Lead development and optimization of distributed data processing pipelines and SQL/Hive-based solutions to enhance performance and scalability.
- Establish frameworks for data ingestion, transformation, validation, and drive continuous improvement initiatives focusing on scalability, performance, and reliability.
Minimum Requirements
- 5-8 years of relevant work experience in Big Data engineering.
- Proficiency with Azure Databricks, Hadoop (HDFS + YARN), Hadoop ecosystem components (HBase, Impala), Scala, SQL, Cloudera, and Apache Iceberg.
- Location: Noida, Gurugram, Pune, India.
- Work Experience Required: 5-8 years.
Ideal Candidate Profile
- Demonstrated ability to lead Big Data solution architecture, focusing on performance tuning and adherence to engineering standards.
- Experience mentoring and collaborating with diverse teams to deliver complex data platform projects.
- Strong expertise in modern Big Data platforms and distributed data processing, particularly within cloud and Azure Databricks environments.