Informatica Developer

# Informatica CDI/ETL Developer ## Company Overview *Not specified* ## Job Summary The Informatica CDI/ETL Developer will play a critical role in designing, developing, and maintaining ETL workflows through Informatica for large-scale data integration projects. This role involves collaborating with various teams to create robust data solutions, ensuring data quality, governance, and compliance, while supporting production environments to minimize downtime. ## Responsibilities - Design, develop, and maintain **Informatica ETL workflows** (PowerCenter, IDQ, IICS) for large-scale data integration. - Work with cloud platforms (**Azure, AWS, GCP**) and integrate data with cloud data warehouses (e.g., **Snowflake, Synapse, Redshift, BigQuery**). - Implement data quality, profiling, and cleansing using **Informatica IDQ**. - Optimize ETL/ELT pipelines for **high performance and scalability**. - Develop real-time and batch data pipelines using tools like **Informatica CDC, Kafka, Spark**, or other streaming technologies. - Collaborate with data architects, analysts, and business teams to gather requirements and design robust data solutions. - Ensure adherence to **data governance, security,** and compliance practices. - Support and troubleshoot issues in production environments, ensuring minimal downtime. - Mentor junior engineers and contribute to best practices for **data engineering and DevOps automation**. ## Qualifications - **Strong hands-on experience with Informatica PowerCenter (ETL/ELT)** and **Informatica Data Quality (IDQ)**. - Expertise in **SQL** and **PL/SQL** (Oracle, SQL Server, Teradata, DB2, etc.). - Experience with **Informatica Intelligent Cloud Services (IICS)** – including Data Integration (DI), Application Integration (AI), and API Management. - Strong understanding of **cloud platforms** (Azure, AWS, GCP) and their data services. - Proficiency in integrating with **Cloud Data Warehouses** (Snowflake, Synapse, Redshift, BigQuery). - Hands-on knowledge of **data modeling** (Star, Snowflake schemas, OLTP, OLAP). - Proven ability to handle **large-scale data integration** and **performance tuning**. ## Preferred Skills - Programming & Automation skills in **Python, Java**, or **Shell scripting**. - Familiarity with the **Big Data Ecosystem**: including Hadoop, Spark, or Databricks for large-scale data processing. - Knowledge of **DevOps/CI-CD** tools such as Jenkins, Git, and Azure DevOps for deployment automation. ## Experience *Min Experience: Not specified* ## Environment *Location: Not specified* ## Salary *Salary: Not specified* ## Growth Opportunities *Not specified* ## Benefits *Not specified*