- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles
- Code in Python with tools like Apache Spark to build a multi-cluster data warehouse
- Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
Requirements
- 5 years of experience in data engineering and analytics.
- Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language ideally Python.
- Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka
- Strong experience in mapping attributes, data profiling, data cleansing, and technical data quality etc.
- Strong experience in Ansi SQL and in-depth knowledge with structured, semi-structured & unstructured data
Interested applicants may send in their detailed resumes, with subject title: 105 Data Engineer. Kindly send your CV in MS Word format
(Reg. Nos. R1104128)
IT Consultancy & Services Pte Ltd
EA License No.: 92C5311
For more information about ITC, please visit us @ www.itcspl.com
