Data Engineer at Tech Mahindra

Responsibilities- High Level

• Connect and Collect data exploration and preparation.
• Transform and Enrich data representation and transformation.
• Publish and Serve Publish data.
• Monitor data pipelines and solutions.

Responsibilities- Detail

• Developing, building, maintaining, and managing data pipelines work with large dataset, databases and software used to analyze them. Fluent with Azure data tools and component. Primary focus to ensure that data flows smoothly from its source to its destination efficiently and securely.
• Demonstrate experience in programming scripting (e.g. Python, SQL).
• Demonstrate experience Analytics/data product solution architecture on Azure (Azure data Factory, Data bricks).
• Handson experience in data extract, load and transformation techniques and tools including orchestration of needed azure resources.
• Ensuring the accuracy of data and promoting data quality.
• Building, testing, and maintaining database pipeline Architecture.
• Demonstrated experience in Data and Software Engineering tools and Agile methodologies (e.g. Agile, ADO,Ansible,G/T)
• Demonstrated experience in Analytica Data framework and Azure Analysis Services.

Skills:

• Modern Data Warehousing
• Data flow transformations
• Implement and design data engineering and integration patterns: messaging, shared databases, file, service based.
• Data security design - authorization, sharding, allocations, authentication
• Database systems and large-scale processing systems
• Consume and develop data-driven APIs.

Technologies

• Azure Data Factory
• Azure Synapse
• Azure Data Lake
• Data bricks
• Database (SQL, NoSQL, Cosmos DB)
• Data Flow Transformations via SQL, Python
• Business Intelligence (Power BI, Spotfire, Power Apps)
• SAP BW

Duties examples

• Build scalable data pipelines to enable data-driven work.
• Design and architect data integration patterns and styles.
• Establish fit-for-purpose guardrails for data ingestions, transformations.
• Design and develop reusable data engineering patterns from simple ETL to complex modern data warehousing involving multiple endpoints and data sources.
• Leverage existing frameworks and accelerators.

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions.