Urgent hiring experienced professionals in a leading brand company

• As a Data Engineer, you will build a variety of big data analytics solutions, including big data lakes. More specifically, you will:
• Design and build scalable data ingestion pipelines to handle real time streams, CDC events, and batch data
• Execute high-performance data processing for structured and unstructured data, and data harmonization
• Schedule, orchestrate, and validate pipelines
• Design exception handling and log monitoring for debugging
• Make tech stack and tools related decisions
• Collaborate with business consultants, data scientists, and application developers to develop analytics solutions

Designation will be commensurate with expertise/experience. Compensation packages are among the best in the industry

Requirements

Hands-on experience with:

• Hadoop ecosystem - HDFS, Hive, Sqoop, Kafka, ELK Stack etc
• Spark, Scala, Python and core/advance Java
• NOSQL databases e.g. Hbase, Cassandra, MongoDB
• Relevant AWS or Azure components required to build big data solutions
• Good to know: Databricks, Snowflake
• Ability to develop and manage scalable Hadoop cluster environments
• Good understanding of data warehousing concepts, distributed systems, data pipelines, ETL
• 5-10 years of tech experience with at least 3 years in big data engineering