MS Azure with ADF/Databricks
1 month ago
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We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
Role:MS Azure with ADF/Databricks
Location: Bengaluru
Exp: 5 - 8 Years
Requirements
We are seeking a skilled Azure Data Engineer to design, develop, and optimize our data solutions on Microsoft Azure, focusing on Azure Data Factory (ADF) and Azure Databricks. This role requires an in-depth understanding of Azure cloud services, data transformation, and pipeline development, enabling the organization to leverage data for insights and decision-making.
Data Pipeline Development and Management
- Design and implement scalable, reliable, and high-performance data pipelines using Azure Data Factory (ADF) to ingest, transform, and load data from various data sources.
- Develop end-to-end ETL/ELT processes within ADF, ensuring data quality, accuracy, and consistency.
- Design and implement scalable, reliable, and high-performance data pipelines using Azure Data Factory (ADF) to ingest, transform, and load data from various data sources.
Data Transformation and Processing with Databricks
- Utilize Azure Databricks for data wrangling, cleaning, and transformations to prepare data for analytics and machine learning.
- Implement Spark-based data engineering workflows within Databricks, optimizing performance and cost efficiency.
- Collaborate with data scientists to prepare data for advanced analytics and machine learning models.
- Utilize Azure Databricks for data wrangling, cleaning, and transformations to prepare data for analytics and machine learning.
Database and Data Storage Optimization
- Work with Azure Data Lake Storage (ADLS), SQL Databases, and other Azure storage solutions to manage data and ensure efficient access.
- Design and implement optimized data storage solutions that support the scalability and agility of data processing workflows.
- Work with Azure Data Lake Storage (ADLS), SQL Databases, and other Azure storage solutions to manage data and ensure efficient access.
Data Governance and Security
- Implement robust data governance practices, ensuring compliance with data security, privacy policies, and data retention requirements.
- Apply access control mechanisms, data masking, and encryption strategies to protect sensitive data in ADF and Databricks.
- Implement robust data governance practices, ensuring compliance with data security, privacy policies, and data retention requirements.
Performance Tuning and Optimization
- Monitor and improve the performance of ETL/ELT processes within ADF and Databricks.
- Troubleshoot and resolve issues related to data pipelines, storage, and processing, ensuring high availability and reliability.
- Monitor and improve the performance of ETL/ELT processes within ADF and Databricks.
Collaboration and Documentation
- Collaborate with data architects, analysts, and business stakeholders to define data requirements and develop solutions that align with business goals.
- Document processes, configurations, and best practices to facilitate knowledge sharing within the team.
- Collaborate with data architects, analysts, and business stakeholders to define data requirements and develop solutions that align with business goals.
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- 3+ years of experience in data engineering or similar role, with a focus on Microsoft Azure.
- Proficiency in Azure Data Factory for ETL/ELT processes, including activities like data ingestion, transformation, scheduling, and monitoring.
- Hands-on experience with Azure Databricks for data processing, transformation, and pipeline development using Spark.
- Strong knowledge of SQL and Python/Scala for data manipulation, scripting, and automation within Databricks.
- Familiarity with Azure Data Lake Storage (ADLS) and other Azure storage solutions.
- Experience in performance tuning and cost optimization of data workflows on cloud infrastructure.
- Knowledge of Azure DevOps for CI/CD pipeline management, version control, and workflow automation.
- Azure Certifications (e.g., Microsoft Certified: Azure Data Engineer, Azure Fundamentals).
- Experience in real-time data processing using Azure Stream Analytics or Event Hub.
- Familiarity with Power BI or other visualization tools for reporting and dashboarding.
- Understanding of data governance and compliance standards (GDPR, HIPAA, etc.).
BenefitsVisit us at . Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
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