02 Aug
|
The Glove
|
India
Location: Hyderabad
Experience: 710 Years
Employment Type: Full time
Job Description:
Glove Talent Solutions Pvt Ltd is hiring an experienced Data Engineer with robust expertise in Azure data platforms, data pipelines, and analytics-driven data solutions.
The ideal candidate should have hands-on experience with Azure Databricks, Azure Data Factory, Apache Spark, PySpark, SQL, Python, and data modeling to build scalable data solutions.
Key Responsibilities:
Develop and maintain data pipelines using Azure Data Factory and Azure Databricks.
Build Spark-based transformation jobs using PySpark and SQL.
Design and implement data models for analytics and AI/ML workloads.
Develop data ingestion, transformation, and curated datasets (Bronze/Silver/Gold layers).
Perform data quality checks, validation, and reconciliation.
Implement CI/CD, version control, monitoring, and operational support for pipelines.
Collaborate with data scientists, analysts, architects, and business teams.
Required Skills:
7–10 years of experience in Data Engineering / ETL / Data Platform development.
Strong experience with Azure Databricks, Apache Spark, and Delta Lake.
Hands-on experience with Azure Data Factory pipelines.
Strong SQL and Python programming skills.
Experience with Azure services like ADLS Gen2, Azure SQL, Key Vault, Event Hubs.
Experience with data modeling, ETL/ELT processes, and cloud data solutions.
Positive understanding of CI/CD, Git, and production data support.
Key Skills: Data Engineering, Azure Databricks, Azure Data Factory, PySpark, Spark SQL, Python, SQL, ETL, Data Modeling, Delta Lake, Azure Cloud
📌 Data Engineer Telangana (India)
🏢 The Glove
📍 India