Data Engineer-Senior II-8

FedEx ACC; Chennai District; On-site; INR 600,000 - 900,000; Full time

Job summary

FedEx ACC in Chennai District seeks a skilled professional to manage data pipelines and ensure data quality. This role involves collaborating with various stakeholders, optimizing databases, and implementing real-time data processing systems.

The ideal candidate will hold a Bachelor's degree in Computer Science or a related field, possess strong analytical skills, and demonstrate attention to detail. A specific business accreditation for Business Intelligence is a plus.

Qualifications

• Bachelor's degree or equivalent in relevant field is required.
• Specific business accreditation for Business Intelligence is preferred.
• Prior work experience varies by position level.

Responsibilities

• Design and implement data pipelines for efficient data management.
• Ensure data quality, integrity, and accessibility.
• Collaborate with stakeholders to support their data needs.
• Manage ETL processes for data integration.

Skills

Fluency in English

Analytical Skills

Attention to Detail

Numerical Skills

Planning & Organizing Skills

Presentation Skills

Education

Bachelor's degree in Computer Science, MIS or similar

Job description

Responsible for designing and implementing data pipelines, ensuring data quality and accessibility, creating data models, managing ETL processes, optimizing databases, collaborating with stakeholders, utilizing big data tools, implementing real‑time data processing, ensuring data governance and security, documenting data architecture, and delivering data‑driven insights.

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). Monitor database performance and troubleshoot 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

Bachelors’ degree or equivalent in Computer Science, MIS, or 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 & 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.