Chief Data Architect

1 day ago

Vijayawada, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Senior Data Engineer

We are seeking a highly skilled and experienced Senior Data Engineer to join our data team. As a key member of the data engineering team, you will be responsible for designing, developing, and maintaining large-scale data pipelines and infrastructure.

The successful candidate will work closely with data scientists, analysts, and other stakeholders to ensure that high-quality data is accurate, timely, and accessible. Your contributions will directly impact our business decisions and drive growth.

About the Role:
  • Data Pipeline Development: Design, develop, and implement complex data pipelines using Azure Data Factory and Databricks to support the ingestion, transformation, and movement of big data.
  • ETL Processes: Develop and optimize ETL (Extract, Transform, Load) processes to ensure efficient data flow and transformation.
  • Data Lake Management: Develop and maintain scalable Azure Data Lake solutions, ensuring efficient storage and retrieval of large datasets.
  • Data Warehousing: Work with Azure Synapse Analytics to build and manage enterprise-level data warehousing solutions that enable advanced analytics and reporting.
  • Data Integration: Integrate various data sources into MS-Fabric, ensuring data consistency, quality, and accessibility across different platforms.
  • Performance Optimization: Optimize data processing workflows and storage solutions to improve performance and reduce costs.
  • Database Management: Manage and optimize databases (SQL and NoSQL) to support high-performance queries and data storage requirements.
  • Data Quality: Implement data quality checks and monitoring to ensure accuracy and consistency of data.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
Requirements:
  • Experience: 4-6 years of experience in data engineering or a related field.
  • Technical Skills:
    • Proficiency with Azure Data Factory, Azure Synapse Analytics, Databricks, and Azure Data Lake
    • Experience with Microsoft Fabric is a plus
    • Strong SQL skills and experience with data warehousing concepts (DWH)
    • Knowledge of data modeling, ETL processes, and data integration
    • Experience with relational databases (e.g., MS-SQL, PostgreSQL, MySQL)
    • Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend)
    • Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus
    • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated data services (e.g., S3, Redshift, BigQuery)
    • Familiarity with data visualization tools (e.g., Power BI) and experience with programming languages such as Python, Java, or Scala.
  • Analytical Skills: Strong problem-solving abilities and attention to detail.
  • Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Education: Bachelor's degree in computer science, Engineering, Mathematics, or a related field. Advanced degrees or certifications are a plus.

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