Position: Data Engineer (Python/Dataiku/Spark/SAS DI)

Location: Bangalore/Chennai

Purpose of the Position:

As a Data Engineer, this position requires candidate who are enthusiastic about specialized skills in any DE tools like Python/Dataiku/Spark/SAS DI and features. As a member of the team, you will help our clients, by building data pipelines that supports to progress on their Data and Analytics journey.

Key Result Areas and Activities:

Driving Data Engineering Initiatives:

• Work with clients to understand and define the data initiatives based on business needs.
• Review all project architectures/codes and contribute towards the development of the project delivery.

Data Integration and ETL Development:

• Design, develop, and implement data integration solutions using Data Engineering tools like Python/Dataiku/Spark/SAS data integration.
• Develop and maintain automated data pipelines for real-time and scheduled data ingestions.

Performance Tuning and Optimization:

• Conduct performance tuning and optimization of queries and data models.
• Optimize data workflows for efficiency and scalability.

Database Design and Implementation:

• Design and implement database objects such as tables, views, schemas, and stored procedures.
• Ensure data quality and consistency across the data warehouse.

Collaboration and Communication:

• Work closely with cross-functional teams to gather requirements and translate them into technical specifications.
• Collaborate seamlessly with clients across multiple geographies.

Problem Solving and Troubleshooting:

• Troubleshoot and resolve data-related issues.
• Apply strong analytical and problem-solving abilities to ensure data quality.

Drive the Project & Technical Team:

• Work with client to gather the data requirements.
• Provide required technical support to development team while delivering the code/project.
• Manage end to project deliverables as technical lead/spoc for client and Infocepts.

Essential Skills:

• Experience on data engineering tools like Python/Dataiku/Spark/SAS data integration.
• Collate data from various data sources and implement business logic while loading into data mart layer.
• Must have strong SQL experience and extract data from various databases and perform required analysis on data.
• Should have BI knowledge to understand the analytics needs of business users.
• Communication with business users to understand the requirements. Able to convert the business requirements into technical requirements.
• Understanding of data modeling concepts, including relational and dimensional modeling.

Desirable Skills:

• Good analytical skill to perform data analysis for different banking products data
• Experience on any BI tools like Microstrategy, Power BI

Qualifications:

• 3+ years of experience to Design and develop efficient and scalable data integration/engineering solutions to support our organization's data analytics and reporting needs.
• Technical certifications that attribute to continuous learning aspirations.

Qualities:

• Influences and implements change with confidence and sound decisions.
• Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers.
• Consults, writes, and presents persuasively.
• Works effectively in self-organized, cross-functional teams.
• Iterates based on new information, peer reviews, and feedback.
• Collaborates seamlessly with clients across geographies.
• Proficient in English (read/write/speak) and email communication.