MS Azure with ADF/Databricks

1 month ago


Hyderabad, India Alignity Solutions Full time
Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

Learn how we are redefining the meaning of work, and be a part of the team raved by Clients, Job-seekers and Employees.
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If you are a MS Azure with ADF/Databricks Position looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

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.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.

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.

Key Responsibilities
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
Required Qualifications
  • 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.
Preferred Qualifications
  • 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.

CEO Message: Click Here
Clients Testimonial: Click Here



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