• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 16th Nov 2024

1. 10+ years in-depth data engineering experience and execution of data pipelines, data ops, data observability, scripting and SQL queries 
2. 5+ years proven data architecture experience - must have demonstrable experience with data architecture, accountable for data standards, designing data models for data warehousing and modern analytics use-cases (e.g., from operational data store to semantic models) 
3. At least 3 years' experience in modern data architecture that support advanced analytics including Snowflake, Azure, etc. Experience with Snowflake and other Cloud Data Warehousing / Data Lake preferred. 
4. Expert in engineering data pipelines using various data technologies - ETL/ELT, big data technologies (Hive, Spark) on large-scale data sets demonstrated through years of experience. 
5. 5+ years hands on data warehouse design, development, and data modeling best practices for modern data architectures 
6. Bachelor's degree in computer science, Information Systems, Engineering, Business Analytics, Business Management 
7. Highly proficient in at least one of these programming languages: Java, Python 
8. Experience with modern data modelling tools, data preparation tools 
9. Experience with adding data lineage, technical glossary from data pipelines to data catalog tools. 
10. Highly proficient in Data analysis - analyzing SQL, Python scripts, ETL/ELT transformation scripts. 
11. Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. Hands on DevOps/Data Ops experience required. 
12. Knowledge/working experience in reporting tools such as MicroStrategy, Power BI would be a plus. 
13. Self-driven individual with the ability to work in