Job Title: Senior Data Engineer

Designation: Senior Data Engineer

Reports to: Project Manager

Location: Hybrid

Shift: Standard (09:00 AM to 06:00 PM) from Monday to Friday

Position Overview

The Senior Data Engineer will be responsible for designing and implementing scalable, efficient data solutions, including data architecture, ETL pipeline management, and database optimization. They will collaborate with cross-functional teams to address data needs, ensure data security, and simplify technical concepts for non-technical stakeholders. The role will require proficiency in SQL, data modeling, and data warehousing, with a focus on upholding data integrity, governance, and quality across various platforms and sources.

Roles and Responsibilities

1. Data Architecture and Design:
   • Collaborate with cross-functional teams to define data architecture and create scalable, efficient, and secure data solutions.
   • Develop and maintain data models in alignment with business needs and data governance standards.
   • Recommend suitable data storage technologies, databases, and warehousing solutions.
2. Data Integration and ETL:
   • Build and maintain ETL (Extract, Transform, Load) pipelines to integrate data from diverse sources.
   • Optimize data flows for performance and reliability.
   • Uphold data quality and integrity through validation and cleansing.
3. Database Management:
   • Manage databases, including schema design, indexing, and performance tuning.
   • Monitor and troubleshoot database issues.
   • Implement data security measures and manage access controls.
4. Data Visualization:
   • Utilize BI tools like Tableau for effective data visualization.
5. Collaboration and Communication:
   • Work closely with data analysts, scientists, and other stakeholders to meet their data needs.
   • Integrate data solutions with other systems and applications.
   • Simplify complex technical concepts for non-technical stakeholders.
6. Documentation:
   • Keep comprehensive records of data architecture, processes, and data dictionaries.

Skills and Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s degree preferred).
• At least 6 years experience in the banking or fintech sector is preferred.
• Proven track record as a Data Engineer or Data Architect.
• Proficiency in SQL and database management systems (e.g., PostgreSQL, MySQL, SQL Server).
• Skilled in data modeling (e.g., ERD diagrams, star and snowflake schemas).
• Experience with ETL tools and data integration (e.g., Apache NiFi, Talend, Informatica, AWS Glue).
• Knowledge of data warehousing (e.g., AWS Redshift, Snowflake, Google BigQuery).
• Familiarity with data governance, quality, and security best practices.
• Programming skills in Python or Java (a plus).
• Excellent problem-solving, analytical, and communication skills.

What We Offer

• Work in a multinational company operating in the Cloud & ICT domain,  based out of the UK and operating in Australia, India, Nepal, Nigeria and Bangladesh
• Best in class open, progressive, professional, and  equal opportunity work environment
• Closely knit and supportive team members and a culture where your contributions, opinions, and diversity is welcome, respected, & encouraged 
• Exposure to multi-disciplinary skill areas (including team management & leadership)  in a vibrant start-up ecosystem with deep work involving world-class leaders like Amazon, Microsoft, Google, and Facebook 
• Opportunity to travel regionally (as part of assignment/ training and development or delivery ) in Nepal, India, Nigeria, Bangladesh, or Sri Lanka 

How to apply?

Suitable candidates meeting the above criteria are requested to send their CV and cover letter to hr@genesesolution.com 

Only shortlisted candidates will be invited for the further selection process. You are requested to clearly mention the position you are applying for in the subject of the email. 

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