About the role
7-8 years of experience in Data Engineering, with strong hands-on expertise
in Python, SQL, and ETL/ELT processes.
Experience with Azure Data Factory (ADF), Azure Databricks, and Azure Data
Lake Storage (ADLS).
Strong understanding of data warehousing, data modelling, database
architecture, and data management concepts.
Experience designing, developing, and optimizing scalable data pipelines for
processing large datasets.
Hands-on experience in data ingestion, transformation, integration, and
workflow orchestration.
Experience with PySpark and distributed data processing.
Knowledge of cloud platforms such as Azure, AWS, or GCP.
Understanding of data quality, validation, monitoring, and performance
optimization.
Experience in troubleshooting data pipeline issues and ensuring data
reliability.
Knowledge of data security, governance, and best practices.
Strong analytical, problem-solving, and communication skills.
Ability to work with cross-functional teams and translate business
requirements into effective data engineering solutions.
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