Senior Azure Data Architect

5 days ago

Bengaluru, Karnataka, India Vlaunchu Full time
Job Summary:

Vlaunchu is seeking a highly skilled Senior Azure Data Engineer to join our team. As a key member of our data engineering team, you will play a pivotal role in designing, implementing, and maintaining our data architecture within the Azure environment.

Key Responsibilities:
  • Design and develop scalable data pipelines within Azure using big data technologies.
  • Collaborate with cross-functional teams to gather and understand data requirements.
  • Implement ETL processes to ingest, transform, and load data into Azure data solutions.
  • Develop and maintain data models and schema within Azure data services.
  • Optimize data storage, processing, and querying for performance and cost efficiency.
  • Implement data security measures and ensure compliance with data governance policies.
  • Provide technical guidance and mentorship to junior data engineering team members.
  • Monitor and troubleshoot data pipelines and services to ensure optimal performance and uptime.
  • Collaborate with data analysts and data scientists to support their data requirements and enable insights generation.
  • Stay updated with the latest Azure data services and industry best practices.
  • Contribute to the continuous improvement of data engineering processes and practices.
  • Document data architecture processes and solutions for knowledge sharing and future reference.
  • Participate in the evaluation and selection of tools and technologies for data engineering within Azure.
  • Participate in project planning, estimation, and related to data engineering initiatives.
  • Collaborate with stakeholders to understand business objectives and translate them into data engineering requirements.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience in designing and implementing data solutions within the Azure environment.
  • Strong proficiency in big data technologies such as Hadoop, Spark, or Databricks.
  • Expertise in ETL processes and tools for data integration.
  • In-depth knowledge of SQL and NoSQL databases, data modeling, and schema design.
  • Experience with data warehousing and dimension modeling concepts.
  • Proficiency in programming languages such as Python, Scala, or Java for data processing and transformation.
  • Familiarity with data governance, security, and compliance principles within Azure.
  • Strong analytical and problem-solving skills with a focus on data quality and performance optimization.
  • Excellent communication skills and the ability to collaborate effectively in a team environment.
  • Relevant certifications in Azure data engineering or relevant technologies are a plus.
  • Ability to work in an agile environment with strong multitasking and prioritization skills.
  • Experience in mentoring and guiding junior data engineering team members.
  • Demonstrated ability to adapt to and learn new technologies and tools quickly.
  • Strong attention to detail and a commitment to delivering high-quality data solutions.

security, data warehousing, communication, SQL, Scala, Java, ETL processes, data governance, ETL, data engineering, Azure, compliance, agile, mentoring, big data, NoSQL databases, problem-solving, Python

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