Data Engineer

Role:Data Engineer

JD:

Minimum 6 years of experience in data engineering

Expertise in AWS or Azure services, Databricks, and/or Informatica IDMC

Hands-on experience across all phases of the project lifecycle with involvement in at least 4 project implementations

Technical Skills

ETL & Data Processing

AWS Services with focus on ETL

Informatica PowerCenter, IDMC, CDI-PC, Informatica Data Engineering Integration (DEI)

Strong understanding of data integration, ETL processes, and data quality management

Proficient in designing and implementing ETL data mappings, transformations, and workflows

Performance & Data Solutions

Ability to evaluate technical solutions and recommend resolutions for data-related issues

Skilled in performance assessment for complex transformations and long-running processes

Business Intelligence (BI)

Strong in BI data model design

Proficiency in Oracle Analytics Server (OAS), Tableau

Working knowledge of BI languages: Python, C#, Java, VBA

Databases & SQL

Strong knowledge of Oracle SQL and NoSQL databases

Key SQL expertise on Oracle, Teradata, MS-SQL Server

Other Skills

Excellent problem-solving and analytical skills

Strong written and verbal communication skills

Team player with proven collaboration skills to ensure delivery targets are met

Certifications (Preferred)

AWS Associate / AWS Professional / AWS Specialty

Databricks certifications

Informatica IDMC certifications

Tableau certifications