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About
Data Engineer
with strong expertise in
Informatica Intelligent Cloud Services (IICS)
and modern cloud data platforms. The ideal candidate will design, develop, and optimize data pipelines, ensuring seamless integration across enterprise systems and cloud environments. Key Responsibilities Design and implement scalable ETL/ELT pipelines using
Informatica IICS . Develop and optimize SQL queries for data extraction, transformation, and loading. Build and maintain data workflows using
Python
and
PySpark . Integrate and manage data across
AWS cloud services
(S3, Redshift, Lambda, Glue, etc.). Implement and optimize data models in
Snowflake
for analytics and reporting. Collaborate with cross-functional teams to understand business requirements and deliver data solutions. Ensure data quality, security, and governance across all platforms. Required Skills & Qualifications 5–8 years of experience in
Data Engineering . Strong hands-on expertise in
Informatica IICS . Proficiency in
SQL
for complex queries and performance tuning. Solid programming skills in
Python
and
PySpark . Experience with
AWS cloud services
(data storage, compute, and integration). Strong knowledge of
Snowflake
data warehouse architecture. Excellent problem-solving and communication skills. Preferred Skills Experience with CI/CD pipelines for data workflows. Familiarity with data governance and security best practices. Exposure to Agile/Scrum methodologies. Soft Skills Strong analytical and troubleshooting abilities. Ability to work independently and in collaborative team environments. Effective communication with technical and non-technical stakeholders.
Languages
- English
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