Data Engineer-Senior II-10

FedEx; Chennai; On-site; INR 600,000 - 1,200,000; Full time

Job summary

FedEx is seeking candidates skilled in designing and implementing data pipelines in Chennai, India. Successful applicants will need a bachelor's degree or equivalent in Computer Science or a related field, with varying experience levels for different roles (from associate to senior). Responsibilities include ensuring data quality, developing data models, and managing ETL processes. Fluency in English and strong analytical skills are essential. Attractive career advancements and learning opportunities are provided.

Qualifications

• Associate: Prior experience not required.
• Standard I: Two (2) years of experience required.
• Standard II: Three (3) years of experience required.
• Senior I: Four (4) years of experience required.
• Senior II: Five (5) years of experience required.

Responsibilities

• Design and implement data pipelines to collect, process, and store data efficiently.
• Ensure data quality, integrity, and accessibility.
• Create data models to support business analytics and reporting.
• Build and manage ETL processes for data integration.
• Administer and optimize databases, monitoring performance.

Skills

Fluency in English

Analytical Skills

Accuracy & Attention to Detail

Numerical Skills

Planning & Organizing Skills

Presentation Skills

Education

Bachelor’s degree in Computer Science, MIS, or a similar discipline

Specific business accreditation for Business Intelligence

Job description

Responsibilities

• Design and implement data pipelines to collect, process, and store data efficiently.
• Ensure data quality, integrity, and accessibility.
• Create data models to support business analytics and reporting.
• Work with data scientists, analysts, and other stakeholders to understand data needs and design schemas.
• Build and manage ETL (Extract, Transform, Load) processes for data integration and automate data ingestion and transformation tasks.
• Administer and optimize databases (both SQL and NoSQL), monitoring performance and troubleshooting issues.
• Collaborate with software engineers to integrate data systems with applications.
• Utilize big data tools for processing large datasets, such as Hadoop or Spark.
• Implement distributed systems for real-time data processing.
• Ensure data governance and security through compliance with data governance policies and data security standards.
• Implement data access controls and encryption techniques.
• Document data architecture, pipelines, and processes.
• Provide reports and insights based on data analysis.

Education

Bachelor’s degree or equivalent in Computer Science, MIS, or a similar discipline.

Accreditation

Specific business accreditation for Business Intelligence.

Experience

Associate: Prior experience not required

Standard I: Two (2) years

Standard II: Three (3) years

Senior I: Four (4) years

Senior II: Five (5) years

Knowledge, Skills, and Abilities

• Fluency in English
• Analytical Skills
• Accuracy & Attention to Detail
• Numerical Skills
• Planning & Organizing Skills
• Presentation Skills

All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.