Bilvantis Technologies - Senior Data Engineer - ETL

Education / Qualification : Degree holder in Computer Science, Computer Engineering or related disciplines.

Certification : Any certification is appreciated.

No of years of experience : 5 – 8 Years.

Team size handled (if any) : This is an individual contributor role & work along with the client team.

Primary Skills (Must Have)

We are looking for a highly self-motivated individual with :

• At least 7 years of experience in designing and developing Data Pipelines & Assets.
• Must have experience with at least one Columnar MPP Cloud data warehouse (Snowflake/Azure Synapse/Redshift) for at least 5 years.
• Experience in ETL tools like Azure Data factory, Fivetran / DBT for 4 years.
• Experience with Git and Azure DevOps.
• Experience in Agile, Jira, and Confluence.
• Solid understanding of programming SQL objects (procedures, triggers, views, functions) in SQL Server.
• Experience optimizing SQL queries a plus.
• Working Knowledge of Azure Architecture, Data Lake.
• Willingness to contribute to documentation (e.g, mapping, defect logs).

Secondary Skills (Good To Have)

• Self starter & learner.
• Able to understand and probe for requirements.
• Generate functional specs for code migration or ask right questions thereof.
• Hands on programmer with a thorough understand of performance tuning techniques.
• Handling large data volume transformations (order of 100 GBs monthly).
• Able to create solution / data flows to suit requirements.
• Produce timely documentation eg, mapping, UTR, defect / KEDB logs etc.
• Tech experience expected.

Primary : Snowflake, DBT (development & testing).

Secondary : Python, ETL or any data processing tool.

Nice to have : Domain experience in Healthcare.

Job/Role Description

• Understanding on the SDLC.
• Understanding on the Agile methodologies.
• Communication with customer and producing the Daily status report.

Soft Skills/other Skills (If Any)

• Should have good oral and written communication.
• Should be a good team player.
• Should be proactive and adaptive.

(ref:hirist.tech)