Aws Data Engineer
2 days ago
Required Skills & Experience:
- 7+ years of experience as a Data Engineer who have hands on experience on Databricks.
Strong hands-on experience with:
Apache Spark
- Databricks, PySpark & Python
- SQL
- AWS S3
- AWS Athena
- Snowflake (Good to have but candidate must be proficient in writing SQL queries for data analysis)
GitHub & GitHub Actions
Solid understanding of AWS Cloud services related to data engineering.
- Experience working with Snowflake is an added advantage.
- Strong understanding of data modelling, data warehousing, and spark jobs performance optimization.
- Excellent problem-solving and analytical skills.
Key Responsibilities:
- Design, build, and maintain ETL/ELT pipelines using Databricks in Scala/Pyspark.
- Develop scalable data solutions using PySpark, Python, and SQL.
- Implement data integration from various sources into AWS S3.
- Manage and version control code using GitHub and integrate pipelines through GitHub Actions.
- Optimize and monitor performance of data pipelines and workflows in Databricks.
- Ensure data quality, governance, and security best practices are followed.
- Proficient in writing SQL queries for data analysis and hands on experience with Snowflake is an added advantage.
- Having exposure to Google Cloud Platform (GCP) services like BigQuery, BigTable and GCS (Google Cloud Storage) is an added advantage.
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