Tech Lead

Collaborate with business analysts, data architects, and stakeholders to gather requirements and deliver data solutions. Perform data analysis, cleansing, profiling, and reconciliation activities to ensure data quality.

a {
text decoration: none;
color: #464feb;
}
tr th, tr td {
border: 1px solid #e6e6e6;
}
tr th {
background color: #f5f5f5;
}
Job Description Informatica, Teradata
DBT Developer
Position:
Informatica ETL Developer / Data Engineer
Experience:
10 Years
Location:
RTP/Sanjose
Key Responsibilities:
Design, develop, and maintain scalable ETL/ELT workflows using
Informatica PowerCenter/IICS
and
DBT .
Develop and optimize data integration solutions across
Teradata , cloud, and enterprise data platforms.
Create, manage, and enhance DBT models, transformations, testing, and deployment processes.
Design and implement complex data mappings, workflows, sessions, and reusable components.
Perform data analysis, cleansing, profiling, and reconciliation activities to ensure data quality.
Optimize Teradata queries, data models, and workloads for high performance data processing.
Collaborate with business analysts, data architects, and stakeholders to gather requirements and deliver data solutions.
Implement data governance, metadata management, and ETL best practices.
Support production deployments, performance tuning, troubleshooting, and incident resolution.
Develop technical documentation and ensure adherence to security and compliance standards.
Required Skills:
Strong experience in
Informatica PowerCenter/IICS .
Hands on expertise in
Teradata
database development and performance tuning.
Experience with
DBT (Data Build Tool)
for ELT transformations and data modeling.
Strong SQL programming and query optimization skills.
Experience with data warehousing concepts, dimensional modeling (Star/Snowflake schemas).
Knowledge of ETL/ELT design patterns and data integration best practices.
Experience with Git, CI/CD pipelines, and Agile methodologies.
Cisco experienced
with iACV domain
Preferred Skills:
Exposure to cloud platforms such as
AWS, Azure, or GCP .
Experience with Snowflake, Databricks, or BigQuery.
Knowledge of Python or Shell scripting for automation.
Familiarity with data quality and data governance frameworks.