Lead Azure Engineer

2 weeks ago

Bengaluru, India Its All About People Full time

Job Description :Key Responsibilities :- Lead the design, development, and delivery of large-scale Azure Data Engineering solutions.- Translate complex business requirements into scalable data architectures, pipelines, and integrations.- Define best practices, standards, and frameworks for data modeling, ETL, and data governance.- Provide architectural oversight for Azure services such as Data Factory, ADLS, Synapse, Databricks, -Analysis Services, and Power BI.- Optimize performance, scalability, and cost efficiency across data platforms and pipelines.- Guide the adoption of modern data lakehouse and warehouse architectures.- Drive innovation by evaluating and integrating new Azure/AWS cloud-native services for analytics.- Collaborate with business stakeholders, product managers, and cross-functional teams to align solutions with business strategy.- Mentor and lead a team of data engineersconducting code reviews, training, and fostering a high-performance culture.- Ensure compliance with data security, governance, and privacy frameworks.- Oversee testing, deployment, and release management for data solutions.- Prepare technical documentation, solution design blueprints, and present architecture reviews to leadership.Desired Profile :- Graduate/Postgraduate in Computer Science, Engineering, or related fields (preferably from a premier institute).- 5- 10 years of hands-on experience in Data Engineering with at least 3+ years in a lead/architect role.- Deep expertise in Azure Data Services : Data Factory, ADLS, Blob Storage, Synapse, Databricks, Analysis Services, Power BI.- Strong experience in SQL Server, SSIS, SSAS, and advanced database design.- Solid understanding of data modeling, data warehousing, dimensional modeling, and data lake architectures.- Experience managing data ingestion from multiple sources (APIs, CSV, JSON, Parquet, RDBMS, NoSQL).- Proficiency in scripting/programming (Python, Scala, PowerShell, Unix Shell).- Exposure to CI/CD, DevOps for data (DataOps), test-driven development, and cloud automation (ARM templates, Terraform).- Strong leadership, stakeholder management, and project execution skills.- Knowledge of AWS equivalents (Glue, S3, Athena, Redshift) is a plus.- Excellent communication and presentation abilities, with proven client-facing experience. (ref:hirist.tech)

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