IN-Associate_Azure data Engineer_Data & Analytics_Advisory_PAN India

Description

Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.

• Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics.
• Engage and collaborate with customers to understand business requirements / use cases and translate them into detailed technical specifications.
• Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.
• Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.
• Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and / or Azure Databricks.
• Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained
• Working with other members of the project team to support delivery of additional project components (API interfaces)
• Evaluating the performance and applicability of multiple tools against customer requirements
• Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
• Integrate Databricks with other technologies (Ingestion tools, Visualization tools).
• Proven experience working as a data engineer
• Highly proficient in using the spark framework (python and / or Scala)
• Extensive knowledge of Data Warehousing concepts, strategies, methodologies.
• Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained
• Working with other members of the project team to support delivery of additional project components (API interfaces)
• Evaluating the performance and applicability of multiple tools against customer requirements
• Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
• Integrate Databricks with other technologies (Ingestion tools, Visualization tools).
• Proven experience working as a data engineer
• Highly proficient in using the spark framework (python and / or Scala)
• Extensive knowledge of Data Warehousing concepts, strategies, methodologie

Mandatory skill sets :

ADE, ADB, ADF

Preferred skill sets :

ADE, ADB, ADF

Years of experience required :

3-10 Years

Education qualification :

BE, B.Tech, MCA, M.Tech

Education

Degrees / Field of Study required : Bachelor of Engineering, Master of EngineeringDegrees / Field of Study preferred :

Certifications

Required Skills

Databricks Platform, Extract Transform Load (ETL), PySpark, Python (Programming Language), Structured Query Language (SQL)

Optional Skills

Desired Languages

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date