Overview
Accepts corp to corp applications
Contract - 27 day((s))
Skills
Query optimization
indexing
stored procedures
joins
window functions.
- Python Expertise
- Data manipulation with Pandas
NumPy.
Automation scripting and API integration.
- ETL Frameworks: Airflow
dbt
Luigi. - Data Warehousing: Snowflake
Redshift
BigQuery. - Big Data Tools (Preferred): Spark
Hadoop. - Cloud Platforms: AWS (S3
Glue
Redshift)
Azure Data Factory
analysts
and business teams. - Strong communication to translate technical solutions into business impact. - Agile/Scrum methodology experience.
supported by ETL/data pipeline expertise
cloud/data warehouse knowledge
and strong collaboration. These form the backbone of a high-performing Data Engineer role. Bharath
since youre already building scoring matrices for candidate fit
do you want me to expand this into a recruiter-ready evaluation template with rating scales (e.g.
15 for each skill)? That would make your candidate ranking process even sharper.
- Data Warehousing: Snowflake
GCP BigQuery.
Data Modeling & Architecture
GCP BigQuery. 3. Data Modeling & Architecture - Schema design and normalization. - Building scalable pipelines for structured/unstructured data. - Knowledge of star/snowflake schemas for analytics. 4. Performance & Optimization - Query tuning
Performance & Optimization
Job Details
Job Description: Data Engineer (SQL & Python Expert)
Job Description: Data Engineer (SQL & Python Expert)
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