4+ ADF Jobs in Hyderabad | ADF Job openings in Hyderabad
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Bengaluru (Bangalore), Hyderabad, Mumbai, Gurugram
7 - 10 yrs
₹20L - ₹35L / yr
DevOps
Microsoft Windows Azure
CI/CD
ADF
Requirements
- Design, implement, and manage CI/CD pipelines using Azure DevOps, GitHub, and Jenkins for automated deployments of applications and infrastructure changes.
- Architect and deploy solutions on Kubernetes clusters (EKS and AKS) to support containerized applications and microservices architecture.
- Collaborate with development teams to streamline code deployments, releases, and continuous integration processes across multiple environments.
- Configure and manage Azure services including Azure Synapse Analytics, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and other data services for efficient data processing and analytics workflows.
- Utilize AWS services such as Amazon EMR, Amazon Redshift, Amazon S3, Amazon Aurora, IAM policies, and Azure Monitor for data management, warehousing, and governance.
- Implement infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate provisioning and management of cloud resources.
- Ensure high availability, performance monitoring, and disaster recovery strategies for cloud-based applications and services.
- Develop and enforce security best practices and compliance policies, including IAM policies, encryption, and access controls across Azure environments.
- Collaborate with cross-functional teams to troubleshoot production issues, conduct root cause analysis, and implement solutions to prevent recurrence.
- Stay current with industry trends, best practices, and evolving technologies in cloud computing, DevOps, and container orchestration.
**Qualifications: **
- Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience.
- 5+ years of experience as a DevOps Engineer or similar role with hands-on expertise in AWS and Azure cloud environments.
- Strong proficiency in Azure DevOps, Git, GitHub, Jenkins, and CI/CD pipeline automation.
- Experience deploying and managing Kubernetes clusters (EKS, AKS) and container orchestration platforms.
- Deep understanding of cloud-native architectures, microservices, and serverless computing.
- Familiarity with Azure Synapse, ADF, ADLS, and AWS data services (EMR, Redshift, Glue) for data integration and analytics.
- Solid grasp of infrastructure as code (IaC) tools like Terraform, CloudFormation, or ARM templates.
- Experience with monitoring tools (e.g., Prometheus, Grafana) and logging solutions for cloud-based applications.
- Excellent troubleshooting skills and ability to resolve complex technical issues in production environments.
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Hyderabad
7 - 10 yrs
₹10L - ₹20L / yr
Data engineering
Data engineer
SSIS
Azure data factory
Data migration
+2 more
Job Locations: Hyderabad, Telangana, India
Required Experience: 5 - 7 Years
Skills : ADF, Azure, SSIS, python
Job Description
Azure Data Engineer with hands on SSIS migrations and ADF expertise.
Roles & Responsibilities
•Overall, 6+ years’ experience in Cloud Data Engineering, with hands on experience in ADF (Azure Data Factory) is required.
Hands on experience with SSIS to ADF migration is preferred.
SQL Server Integration Services (SSIS) workloads to SSIS in ADF. ( Must have done at least one migration)
Hands on experience implementing Azure Data Factory frameworks, scheduling, and performance tuning.
Hands on experience in migrating SSIS solutions to ADF
Hands on experience in ADF coding side.
Hands on experience with MPP Database architecture
Hands on experience in python
Required Experience: 5 - 7 Years
Skills : ADF, Azure, SSIS, python
Job Description
Azure Data Engineer with hands on SSIS migrations and ADF expertise.
Roles & Responsibilities
•Overall, 6+ years’ experience in Cloud Data Engineering, with hands on experience in ADF (Azure Data Factory) is required.
Hands on experience with SSIS to ADF migration is preferred.
SQL Server Integration Services (SSIS) workloads to SSIS in ADF. ( Must have done at least one migration)
Hands on experience implementing Azure Data Factory frameworks, scheduling, and performance tuning.
Hands on experience in migrating SSIS solutions to ADF
Hands on experience in ADF coding side.
Hands on experience with MPP Database architecture
Hands on experience in python
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Bengaluru (Bangalore), Hyderabad, Pune
3 - 8 yrs
₹8L - ₹16L / yr
ADF
SSIS
Job Responsibilities/KRAs:
Responsibilities
Understand business requirement and actively provide inputs from Data perspective.
Experience of SSIS development.
Experience in Migrating SSIS packages to Azure SSIS Integrated Runtime
Experience in Data Warehouse / Data mart development and migration
Good knowledge and Experience on Azure Data Factory
Expert level knowledge of SQL DB & Datawarehouse
Should know at least one programming language (python or PowerShell)
Should be able to analyse and understand complex data flows in SSIS.
Knowledge on Control-M
Knowledge of Azure data lake is required.
Excellent interpersonal/communication skills (both oral/written) with the ability to communicate
at various levels with clarity & precision.
Build simple to complex pipelines & dataflows.
Work with other Azure stack modules like Azure Data Lakes, SQL DW, etc.
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or relevant field.
A minimum of 5 years’ experience in a similar role.
Strong knowledge of database structure systems and data mining.
Excellent organizational and analytical abilities.
Outstanding problem solver.
Good written and verbal communication skills.
Responsibilities
Understand business requirement and actively provide inputs from Data perspective.
Experience of SSIS development.
Experience in Migrating SSIS packages to Azure SSIS Integrated Runtime
Experience in Data Warehouse / Data mart development and migration
Good knowledge and Experience on Azure Data Factory
Expert level knowledge of SQL DB & Datawarehouse
Should know at least one programming language (python or PowerShell)
Should be able to analyse and understand complex data flows in SSIS.
Knowledge on Control-M
Knowledge of Azure data lake is required.
Excellent interpersonal/communication skills (both oral/written) with the ability to communicate
at various levels with clarity & precision.
Build simple to complex pipelines & dataflows.
Work with other Azure stack modules like Azure Data Lakes, SQL DW, etc.
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or relevant field.
A minimum of 5 years’ experience in a similar role.
Strong knowledge of database structure systems and data mining.
Excellent organizational and analytical abilities.
Outstanding problem solver.
Good written and verbal communication skills.
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Remote, Bengaluru (Bangalore), Hyderabad
3 - 9 yrs
₹8L - ₹20L / yr
PySpark
Data engineering
Data Engineer
Windows Azure
ADF
+2 more
Must-Have Skills:
• Good experience in Pyspark - Including Dataframe core functions and Spark SQL
• Good experience in SQL DBs - Be able to write queries including fair complexity.
• Should have excellent experience in Big Data programming for data transformation and aggregations
• Good at ELT architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption.
• Good customer communication.
• Good Analytical skill
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
-
Azure Synapse or Azure SQL data warehouse
-
Spark on Azure is available in HD insights and data bricks
Good to Have:
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
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