Intermediate Application Developer -Azure (Databricks, Data Factory, Data Lake Storage, Synapse Analytics).

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Job Description:

Job Summary
This position provides input and support for full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She performs tasks within planned durations and established deadlines. This position collaborates with teams to ensure effective communication and support the achievement of objectives. He/She provides knowledge, development, maintenance, and support for applications.

Responsibilities:

• Generates application documentation.
• Contributes to systems analysis and design.
• Designs and develops moderately complex applications.
• Contributes to integration builds.
• Contributes to maintenance and support.
• Monitors emerging technologies and products.

Technical Skills :

• Cloud Platforms:  Azure (Databricks, Data Factory, Data Lake Storage, Synapse Analytics).
• Data Processing:  Databricks (PySpark, Spark SQL), Apache Spark.
• Programming Languages:  Python, SQL
• Data Engineering Tools:   Delta Lake, Azure Data Factory, Apache Airflow
• Other: Git, CI/CD

Professional Experience :

• Design and implementation of a scalable data lakehouse on Azure Databricks, optimizing data ingestion, processing, and analysis for improved business insights.
• Develop and maintain efficient data pipelines using PySpark and Spark SQL for extracting, transforming, and loading (ETL) data from diverse sources.(Azure and GCP).
• Develop SQL stored procedures for data integrity. Ensure data accuracy and consistency across all layers.
• Implement Delta Lake for ACID transactions and data versioning, ensuring data quality and reliability.
• Create frameworks using Databricks and Data Factory to process incremental data for external vendors and applications.
• Implement Azure functions to trigger and manage data processing workflows.
• Design and implement data pipelines to integrate various data sources and manage Databricks workflows for efficient data processing.
• Conduct performance tuning and optimization of data processing workflows.
• Provide technical support and troubleshooting for data processing issues.
• Experience with successful migrations from  legacy data infrastructure to Azure Databricks, improving scalability and cost savings.
• Collaborate with data scientists and analysts to build interactive dashboards and visualizations on Databricks for data exploration and analysis.

Effective oral and written management communication skills.

Qualifications:

• Minimum 5 years of Relevant experience
• Bachelor’s Degree or International equivalent
• Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field

Employee Type:
 

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