Associate Technical Architect - Data Engineer (Azure)
QuantiphiBengaluru, Karnataka, India
5 days ago
Job description
Key Responsibilities :
Design and build scalable ETL / ELT pipelines using Azure Data Factory (ADF), Azure Databricks (Spark), and Azure Synapse Analytics.
Develop and optimize PySpark / Spark SQL jobs for large-scale batch and streaming data transformations.
Ingest data from various sources including Apache Kafka, REST APIs, and RDBMS, ensuring real-time or near-real-time availability.
Implement data modeling strategies (star schema, snowflake schema) for analytics consumption layers in Synapse or ADLS.
Collaborate with DevOps teams to automate deployment using CI / CD pipelines (Azure DevOps, GitHub Actions, etc.).
Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability.
Follow coding standards, participate in peer reviews, and maintain version-controlled code in Git repositories.
Support data quality checks, logging, alerting, and observability mechanisms for production workloads.
Participate in sprint ceremonies and contribute to task estimation and delivery planning.
Must-Have Skills :
5+ years of experience in data engineering roles.
Hands-on experience with :
Azure Data Factory (ADF) – building pipelines, triggers, linked services.
Azure Databricks – building and managing Spark jobs in PySpark.
Azure Synapse Analytics – data warehousing, SQL queries, workspace orchestration.
Apache Kafka – consuming and processing real-time data streams.
Strong in SQL, Python, and Spark for data manipulation and transformation.
Exposure to CI / CD practices (Azure DevOps, Git workflows, build / release pipelines).
Understanding of data lake architecture and modern data warehousing principles.
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Azure Data Architect • Bengaluru, Karnataka, India
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