Data Engineer

About Client:

Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters.

• Job Title : Data Engineer

• Key Skills : Azure, Data Engineer
• Job Locations : PAN India
• Experience : 8+ Years.
• Education Qualification : Any Graduation.
• Work Mode : Hybrid.
• Employment Type :

  Contract.

• Notice Period :

  Immediate to 15 Days

Roles and Responsibilities:

The Senior Data Engineer is the one who designs and builds data foundations and end to end solutions to maximize value from data. The role helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider Business stakeholder community. A Senior Data engineer is expected to be a subject matter expert, who design & build data solutions and mentor junior engineers. They are also the key drivers to convert Vison and Data Strategy for IT solutions and deliver.

Key Characteristics

Technology expert who constantly pursues knowledge enhancement and has inherent curiosity to understand work from multiple dimensions.

Deep data focus with expertise in technology domain

A skilled communicator capable of speaking to both technical developers and business managers. Respected and trusted by leaders and staff.

Actively delivers the roll-out and embedding of Data Foundation initiatives in support of the key business programmers.

Coordinate the change management process, incident management and problem management process.

Present reports and findings to key stakeholders and be the subject matter expert on Data Analysis & Design.

Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery.

Contributes to community building initiatives like CoE, CoP.

Mandatory skills:

AWS/Azure/SAP - Master

ELT - Master

Data Modeling - Master

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