Azure Data Engineer | Remote | 4+ Years

Profile – Data Engineer

• Client: US Based
• Shift: 7PM to 3AM IST

Summary:

• Supports and enhances Data Platform using Microsoft SQL Server, Azure Data Lake, Azure Synapse, and Synapse Data Pipelines.
• Collaborates with engineers, developers, and users for optimal, performant, and scalable data architecture.
• Strong problem-solving skills; adept at sourcing, transforming, and integrating data from diverse sources.
• Familiarity with programming languages.

Education:

• Bachelor’s degree in Software Engineering, Computer Science, Software Development, or related field.

• Works collaboratively with various business functions (Manufacturing, Sales, Service, Finance, Supply Chain, etc.) through service desk tickets and change requests.
• Engages in effective collaboration and communication with stakeholders to grasp issues and requirements.
• Designs, codes, tests, and documents data solutions of medium complexity, adhering to organizational tools and standards for well-engineered outcomes.
• Monitors data environments, actively investigates system and service issues.
• Conducts thorough root cause analysis and diligently tracks error resolution to completion.
• Demonstrates understanding of and adherence to relevant organizational policies and procedures, including IT and SOx controls.
• Applies and upholds security controls as dictated by organizational policies to ensure data confidentiality, integrity, and availability.
• Possesses experience in data engineering or developer roles, proficient in working with multiple data sources, storage technologies, and data formats.
• Utilizes SQL and SQL Server Management Studio to proficiently store, manipulate, and retrieve data within relational databases.
• Skilled in storing, manipulating, and retrieving structured and unstructured data, utilizing Azure Data Lake Storage, Azure Synapse, and Azure Data Factory, while working with various data formats (Parquet, XML, JSON, CSV, etc.).
• Boasts strong communication and collaboration skills.
• Self-directed and adept at supporting the data requirements of multiple teams, systems, and products.
• Proficient in software development methodologies (e.g., SDLC, Agile, Scrum, etc.), adhering to formal development practices and generating comprehensive technical documentation.