4+ ADF Jobs in Hyderabad | ADF Job openings in Hyderabad
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What You Will Do:
Following are high level responsibilities that you will play but not limited to:
· Develop and maintain data pipelines using Azure Data Factory (ADF) /Databricks for data integration and ETL processes.
· Design, implement, and optimize Power BI /Fabric reports and dashboards to deliver actionable business insights.
· Collaborate with data analysts, business users, and other teams to understand data requirements and deliver solutions using ADF and Power BI.
· Extract, transform, and load (ETL) data from various sources into cloud-based storage systems such as Azure Data Lake or Azure SQL Database.
· Work with large datasets and optimize queries and pipelines for performance and scalability.
· Ensure data quality, integrity, and availability throughout the data lifecycle.
· Automate repetitive data tasks, ensuring timely and accurate reporting.
· Monitor and troubleshoot data pipelines, addressing any performance or data issues promptly.
· Support data visualization and reporting tools, including Power BI, to enable business stakeholders to make data-driven decisions.
· Write clear, efficient, and maintainable code for data transformations and automation.
Required Qualifications:
· Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
· 8+ years of hands-on experience in Data Engineering, BI Developer or a similar role.
· Proficiency with Azure Data Factory (ADF), including the creation of data pipelines and managing data flows.
· Strong experience in Power BI, including report creation, dashboard development, and data modeling.
· Experience with SQL and database management (e.g., Azure SQL Database, SQL Server).
· Knowledge of cloud platforms, especially Microsoft Azure.
· Familiarity with data warehousing concepts and ETL processes.
· Experience working with cloud-based data storage solutions (e.g., Azure Data Lake, Azure Blob Storage).
· Strong programming skills in languages such as Python, SQL, or other relevant languages.
· Ability to troubleshoot and optimize data pipelines for performance and reliability.
Preferred Qualifications:
· Familiarity with data modeling techniques and practices for Power BI.
· Knowledge of Azure Databricks or other data processing frameworks.
· Knowledge of Microsoft Fabric or other Cloud Platforms.
What we need?
· B. Tech computer science or equivalent.
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
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.
- 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
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Azure Synapse or Azure SQL data warehouse
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Spark on Azure is available in HD insights and data bricks
- 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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