Senior Data Engineer

Primary Roles and Responsibilities:

Collaborate with DW/BI leads to understand new ETL pipeline development requirements

Triage issues to find gaps in existing pipelines and fix the issues

Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs

Help joiner team members to resolve issues and technical challenges.

Drive technical discussion with client architect and team members

Orchestrate the data pipelines in scheduler (UC4 and Airflow)

Skills and Qualifications:

Bachelor's and/or masters degree in computer science or equivalent experience.

Experience level 6-10 yrs. of IT experience and 5+ years' experience in Data warehouse/ETL projects.

Should have experience at least in 1 end to end implementation of Snowflake cloud data warehouse and 2 End to end data warehouse implementations on-premise.

Expertise in Snowflake data modelling, ELT using SQL, implementing stored Procedures and standard DWH and ETL concepts

Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe

Experience in Data Migration from RDBMS to Snowflake cloud data warehouse

Deep understanding of Star and Snowflake dimensional modelling

Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot

Certified in Snowflake (SnowPro Core) (Desirable).

Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects

Should have experience working in Agile methodology

Strong verbal and written communication skills.

Strong analytical and problem-solving skills with high attention to detail