
Data Engineer
13 hours ago
Key Responsibilities:
- Design, develop, and maintain
ETL pipelines
and data workflows.
- Build and optimize
data models, warehouses, and lakes
.
- Work with structured and unstructured datasets for analytics and reporting.
- Collaborate with cross-functional teams including Data Science and Product.
- Ensure
data quality, governance, and security
across systems.
- Monitor, troubleshoot, and optimize data workflows for performance.
- Stay updated with
emerging technologies and best practices
in data engineering.
Required Skills & Experience:
- 5+ years of professional experience as a
Data Engineer
.
- Strong proficiency in
SQL, Python, and ETL development
.
- Hands-on experience with
cloud platforms (AWS, Azure, GCP)
.
- Experience with
big data tools
(Hadoop, Spark, Kafka).
- Solid knowledge of
data warehousing
(Snowflake, Redshift, BigQuery, Synapse).
- Familiarity with
relational and NoSQL databases
.
- Experience with
CI/CD pipelines, Git, and Agile methodologies
.
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