Data Engineer (+3 Years Experience)

Valleysoft, a reputable IT services company, is seeking a skilled Data Engineer to join our dynamic team. The successful candidate will be responsible for designing, developing, and maintaining scalable data solutions to support business analytics and decision-making processes.

Key Responsibilities:

• Design, build, and optimize data pipelines and ETL processes for collecting, transforming, and storing data across multiple sources.
• Develop and maintain data warehouses, data marts, and data lakes to enable efficient data access and analysis.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver relevant solutions.
• Ensure data quality, consistency, and security throughout the data lifecycle.
• Monitor and troubleshoot data pipeline performance and implement improvements.
• Keep up-to-date with emerging data engineering technologies and best practices.

• • Build and maintain data warehouse and data marts, including ODS and internal departmental marts.
  • Gather, process, maintain, and analyze large datasets, ensuring data accuracy and quality.
  • Design, automate, and support ETL pipelines and data flows across multiple applications.
  • Create logical and physical data flow models and mapping designs for ETL processes.
  • Strong SQL skills (performance tuning, index management) and solid understanding of database structures.
  • Strong understanding of data modeling concepts.
  • Familiarity with SQL and NoSQL storage, and Big Data technologies (Hive, Impala, YARN, Kafka, etc.).

Informatica-specific requirements:

• • Hands-on experience with Informatica PowerCenter development (mappings, sessions, workflows).
  • Strong knowledge of Informatica transformations (e.g., Lookup, Joiner, Aggregator, Expression, Router, Sorter) and performance tuning.
  • Experience with Informatica Developer.
  • Experience with Informatica B2B is a plus.
  • Ability to design, automate, monitor, and troubleshoot ETL jobs, including scheduling.

Banking sector requirements (preferred):

• • Previous experience in the banking sector, preferably business banking, including working with banking datasets.
  • Strong understanding of data quality and reconciliation expectations in banking environments.
  • Experience working under regulated environments and change control practices is a strong plus.

• Private Health Insurance
• Training & Development