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Lead Engineer 1

Lead Engineer 1

Pepsico

5 - 10 years

9 - 14 Lacs

hyderabad

Posted:13 hours ago| Platform:

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Skills Required

azure databricks performance tuning azure data factory sql azure data warehousing concepts continuous integration data services python azure data lake data processing microsoft azure data warehousing ci/cd data engineering sql data bricks etl

Work Mode

Work from Office

Job Type

Full Time

Job Description

Overview

DataOps L3 The role will leverage & enhance existing technologies in the area of data and analytics solutions like Power BI, Azure data engineering technologies, ADLS, ADB, Synapse, and other Azure services. The role will be responsible for developing and support IT products and solutions using these technologies and deploy them for business users

Responsibilities

5 to 10 Years of IT & Azure Data engineering technologies experience
Prior experience in ETL, data pipelines, data flow techniques using Azure Data Services
Working experience in Python, Py Spark, Azure Data Factory, Azure Data Lake Gen2, Databricks, Azure Synapse and file formats like JSON & Parquet.
Experience in creating ADF Pipelines to source and process data sets.
Experience in creating Databricks notebooks to cleanse, transform and enrich data sets.
Development experience in orchestration of pipelines
Good understanding about SQL, Databases, Datawarehouse systems preferably Teradata
Experience in deployment and monitoring techniques.
Working experience with Azure DevOps CI/CD pipelines to deploy Azure resources.
Experience in handling operations/Integration with source repository
Must have good knowledge on Datawarehouse concepts and Datawarehouse modelling.
Working knowledge of SNOW including resolving incidents, handling Change requests /Service requests, reporting on metrics to provide insights.
Collaborate with the project team to understand tasks to model tables using data warehouse best practices and develop data pipelines to ensure the efficient delivery of data.
Strong expertise in performance tuning and optimization of data processing systems.
Proficient in Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure data services.
Develop and enforce best practices for data management, including data governance and security.
Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Proficient in implementing DataOps framework.

Qualifications

Azure data factory
Azure Databricks
Azure Synapse
PySpark/SQL
ADLS
Azure DevOps with CI/CD implementation.

Nice-to-Have Skill Sets:

Business Intelligence tools (preferredPower BI)
DP-203 Certified.

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Lead Engineer 1