Data Engineer Expert

2 weeks ago

Jaipur, Rajasthan, India Celebal Technologies Full time

Celebal Technologies is seeking a highly skilled Data Engineer to play a critical role in designing, developing, and maintaining our data pipelines and infrastructure.

Key Responsibilities:

  • Design, develop, and implement data pipelines using Azure Data Factory and Databricks to support the ingestion, transformation, and movement of data.
  • Develop and optimize ETL (Extract, Transform, Load) processes to ensure efficient data flow and transformation.
  • Manage and maintain Azure Data Lake solutions, ensuring efficient storage and retrieval of large datasets.
  • Work with Azure Synapse Analytics to build and manage scalable data warehousing solutions that enable advanced analytics and reporting.
  • Integrate various data sources into Microsoft Fabric, ensuring data consistency, quality, and accessibility across different platforms.
  • Optimize data processing workflows and storage solutions to improve performance and reduce costs.
  • Manage and optimize databases (SQL and NoSQL) to support high-performance queries and data storage requirements.
  • Implement data quality checks and monitoring to ensure accuracy and consistency of data.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
  • Create and maintain comprehensive documentation for data processes, pipelines, and infrastructure.
  • Identify and resolve issues in data pipelines, data lakes, and warehousing solutions, providing timely support and maintenance.

Requirements:

  • 2-4 years of experience in data engineering or a related field.
  • 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.
  • 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.
  • Experience with schema design and dimensional data modeling.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Bachelor's degree in computer science, engineering, mathematics, or a related field. Advanced degrees or certifications are a plus.

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