Data Engineer-Senior II-9

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

Job summary

FedEx ACC in Chennai is looking for a data engineer to design and implement data pipelines and manage databases. The role requires a Bachelor’s degree in Computer Science or a similar field, along with skills in analytical thinking, attention to detail, and data governance. Candidates experiencing varying levels of expertise from entry-level to senior roles are welcome. The position offers a dynamic work environment focused on data-driven decision-making, ensuring quality and integrity in data management.

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 and analysts to understand data needs.
• Build and manage ETL processes for data integration.
• Administer and optimize databases, monitoring performance.
• Collaborate with software engineers to integrate data systems.
• Utilize big data tools for processing large datasets.
• Implement distributed systems for real-time data processing.
• Ensure data governance and security through policy compliance.
• Implement data access controls and encryption techniques.
• Document data architecture and processes.
• Provide reports and insights based on data analysis.

Skills

Fluency in English

Analytical Skills

Accuracy & Attention to Detail

Numerical Skills

Planning & Organizing Skills

Presentation Skills

Education

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

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.