Position :- AWS Data Engineer With Databricks and Lakehouse
Location :- Santa Clara CA (Day One Onsite)
Position Type :- Contract On C2C
Over All Experience :- 9 Years
Kindly Share Information :-
Update Resume :-
Current Location :-
Work Authorization:-
LinkedIn ID :-
Required Skills & Qualifications
- 7 years of experience in data engineering or related roles.
- Strong hands-on experience with the Databricks platform.
- Proficiency in Python for data processing and pipeline development.
- Strong experience with PySpark and distributed data processing.
- Deep understanding of ETL/ELT pipeline design and orchestration.
- Experience with Databricks Unity Catalog and data governance practices.
- Strong knowledge of AWS cloud services especially:
- S3
- IAM
- VPC
- Exposure to Glue / Lambda is a plus
- Solid understanding of data lake / lakehouse architecture patterns.
- Experience building dashboards and supporting analytics use cases.
- Strong SQL skills and performance tuning expertise.
- Experience in data modeling and schema design.
- Good problem-solving and debugging skills.
- Strong communication and stakeholder management abilities.
Position :- AWS Data Engineer With Databricks and Lakehouse Location :- Santa Clara CA (Day One Onsite) Position Type :- Contract On C2C Over All Experience :- 9 Years Kindly Share Information :- Update Resume :- Current Location :- Work Authorization:- LinkedIn ID :- Required Skills & Qua...
Position :- AWS Data Engineer With Databricks and Lakehouse
Location :- Santa Clara CA (Day One Onsite)
Position Type :- Contract On C2C
Over All Experience :- 9 Years
Kindly Share Information :-
Update Resume :-
Current Location :-
Work Authorization:-
LinkedIn ID :-
Required Skills & Qualifications
- 7 years of experience in data engineering or related roles.
- Strong hands-on experience with the Databricks platform.
- Proficiency in Python for data processing and pipeline development.
- Strong experience with PySpark and distributed data processing.
- Deep understanding of ETL/ELT pipeline design and orchestration.
- Experience with Databricks Unity Catalog and data governance practices.
- Strong knowledge of AWS cloud services especially:
- S3
- IAM
- VPC
- Exposure to Glue / Lambda is a plus
- Solid understanding of data lake / lakehouse architecture patterns.
- Experience building dashboards and supporting analytics use cases.
- Strong SQL skills and performance tuning expertise.
- Experience in data modeling and schema design.
- Good problem-solving and debugging skills.
- Strong communication and stakeholder management abilities.
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