Data Engineer

3 weeks ago


india WaferWire Cloud Technologies Full time

Role: Data Engineer

Experience: 3–6 Years

Location: Hyderabad


Job Description

We are seeking a seasoned Data Engineer to join our team in Hyderabad. The ideal candidate will have a strong background in data engineering, with extensive experience in SQL, data pipelines, Azure Synapses Data Warehouses, and data modeling.


Key Responsibilities:

  • Design, develop, and maintain robust data pipelines using Microsoft SQL Server and Azure Data Factory.
  • Implement ETL processes to consolidate data from various sources into a centralized data warehouse.
  • Optimize and troubleshoot SQL queries, stored procedures, and database performance.
  • Develop, deploy, and manage data models and reports using Power BI.
  • Collaborate with business stakeholders to understand their data requirements and deliver actionable insights.
  • Ensure data quality, integrity, and security across all data assets.
  • Monitor and maintain data systems to ensure high availability and performance.
  • Document data processes, architectures, and environments for future reference and training.
  • Stay updated with the latest trends and best practices in data engineering and business intelligence.


Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience in data engineering, with a focus on cloud platforms and Microsoft technologies.
  • 3+ years of experience as a data engineer or in a similar role.
  • Strong proficiency in Microsoft SQL Server, including T-SQL, SSIS, and SSRS.
  • Hands-on experience with Azure Data Services (Azure Data Factory, Azure SQL Database, Azure Synapse Analytics).
  • Expertise in KQL, Power BI, including data modeling, DAX, Power Query, Power BI Service, and report/dashboard development.
  • Familiarity with data warehousing concepts and technologies.
  • Experience with scripting languages such as Python or PowerShell is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Skills:

  • Experience with Azure DevOps for CI/CD in data projects.
  • Knowledge of other BI tools and platforms.
  • Understanding of machine learning and data science principles.
  • Experience with big data technologies like Azure Data Lake, Databricks, or Hadoop.

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