Azure Data Engineer

Overview

Azure Data Engineer – TA Spoc

Keywords – Databricks, Pyspark, SCALA, SQL, Live / Streaming data, batch processing data

Roles and Responsibilities:
The Data Engineer will work on data engineering projects for various business units, focusing on delivery of complex data management solutions by leveraging industry best practices. They work with the project team to build the most efficient data pipelines and data management solutions that make data easily available for consuming applications and analytical solutions. A Data engineer is expected to possess strong technical skills.

Key Characteristics
Technology champion who constantly pursues skill enhancement and has inherent curiosity to understand work from multiple dimensions.
Interest and passion in Big Data technologies and appreciates the value that can be brought in with an effective data management solution.
Has worked on real data challenges and handled high volume, velocity, and variety of data.
Excellent analytical & problem-solving skills, willingness to take ownership and resolve technical challenges.
Contributes to community building initiatives like CoE, CoP.

Mandatory skills:

Azure - Master
ELT - Skill
Data Modeling - Skill
Data Integration & Ingestion - Skill
Data Manipulation and Processing - Skill
GITHUB, Action, Azure DevOps - Skill
Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill

Optional skills:

Experience in project management, running a scrum team.
Experience working with BPC, Planning.
Exposure to working with external technical ecosystem.
MKDocs documentation

4. Python + React Developer – TA Spoc – Anugya - anugyasingh.ext@deloitte.com/ SFID – 79328

Responsibilities:

• Design, develop, and maintain web applications using Python and React.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Write clean, maintainable, and efficient code.
• Manage well-functioning databases using SQL.
• Troubleshoot, debug, and upgrade existing software.

Requirements:

• Strong proficiency in Python and React.
• Experience with SQL databases (e.g., MSSQL, PostgreSQL).
• Familiarity with front-end technologies (e.g., HTML, CSS, JavaScript).
• Knowledge of AWS and Kubernetes is a plus.
• Understanding of RESTful APIs and web services.
• Problem-solving skills and attention to deta
• Strong communication and teamwork abilities.

Preferred Qualifications:

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with CI/CD pipelines and DevOps practices.
• Knowledge of cloud services (preferred AWS

Job Types: Full-time, Permanent, Contractual / Temporary

Pay: ₹99,000.00 - ₹109,218.58 per month

Schedule:

• Day shift

Work Location: In person