Azure Data Engineer
Job Description: Role: Data Engineer
Work Arrangement: Hybrid (4 days/week onsite): Work Hours: 9:00 AM - 5:00 PM
Experience Required: 6-8 Years
Role Description:
Looking for a Data Engineer with strong experience in
ADF, ADB, PySpark, SQL, and architecting ETL frameworks.
Essential Skills:
Azure Data Factory (ADF)
Azure Databricks (ADB)
PySpark
SQL
Architecting ETL Frameworks
Required Skills:
Strong communication skills with the ability to liaise
and coordinate with SMEs and technical partners Strong ability to break down
technical requirements into actionable tasks Proficient with relational
databases such as MS SQL and SQL scripting Proficient in building and
maintaining Azure Data Factory pipelines for data ingestion orchestration Good
OOP understanding with experience in Python or Java Proficiency with Git
(Bitbucket or GitHub) Good understanding of CI/CD concepts for building and
deploying artifacts Understanding of synchronous and asynchronous data
encryption/decryption
Nice to Have Skills:
Azure Databricks Notebooks or Apache Spark for data
transformations Datadog dashboard and monitoring experience Azure Data Lake
Gen2 Understanding of Parquet and Delta Lake concepts Experience with XLR for
CI/CD Experience with Flyway for data migrations