We’re looking for a seasoned Data Architect with extensive experience in designing, developing, and managing large-scale data solutions. The ideal candidate will have a proven track record in building robust ETL pipelines, optimizing big data processing, and driving improvements in data quality and workflow efficiency.
Essential Skills
10+ years of hands-on experience in large-scale data architecture and solution design.
Proven expertise in ETL pipeline design, development, and optimization.
Robust background in data preprocessing and improving data quality.
Experience processing large datasets (5B+ records) within Spark-Hadoop clusters.
Experience automating data processing tasks for DAAS (Data-as-a-Service) projects to improve efficiency.
Hands-on experience configuring file and client setups for smooth data integration and delivery.
Proven ability to manage end-to-end data pipelines, reducing processing time and improving quality.
Desirable Skills
Experience with HBase.
Solid hands-on expertise with Apache Spark.
Knowledge of NiFi for data flow automation.
Prior Big Data Architect experience.
Required Skills for Chief Architect Job
Data Architect
ETL
Spark-Hadoop
Our Hiring Process
Screening (HR Round)
Technical Round 1
Technical Round 2
Final HR Round