Teradata Developer

Data Engineer

Data Integration Engineer

Key Responsibilities:

• Develop and optimize

  complex SQL queries and stored procedures

  in

  Teradata

  for data extraction, transformation, and reporting.
• Utilize

  Teradata utilities

  such as

  BTEQ, MLOAD, and FLOAD

  for efficient data loading, transformation, and batch processing.
• Design and implement robust

  ETL solutions

  , ensuring data quality, consistency, and performance across systems.
• Collaborate with business and technical stakeholders to gather data requirements and translate them into scalable data integration workflows.
• Apply strong

  data warehousing principles

  to support analytical and operational reporting needs.
• Ensure data integrity through validation, reconciliation, and monitoring processes.
• Participate in Agile development processes, including sprint planning, reviews, and retrospectives.

Required Skills & Experience:

• Teradata

  : Strong hands-on experience with Teradata, including BTEQ, MLOAD, FLOAD, and stored procedures.

• SQL

  : Proficient in writing and debugging complex SQL queries for large-scale data environments.

• ETL Development

  :
• Solid understanding of ETL concepts and data pipeline architecture.
• Exposure to ETL tools and frameworks (e.g., Informatica, DataStage, Talend, or custom ETL solutions).
• Experience in performance tuning, error handling, and job orchestration.

• Data Warehousing

  : Strong grasp of dimensional modeling, data architecture, and best practices in data warehousing.

• BI Tools

  : Exposure to reporting tools such as Power BI, Looker, Tableau, or similar (basic understanding only).

• Communication

  : Excellent communication skills with the ability to elicit and clarify requirements from business users.

• Agile Methodology

  : Experience working in Agile teams and delivering solutions in iterative cycles.

Preferred / Good to Have:

• Python

  : Basic knowledge of Python for scripting and automation.

• GCP

  : Familiarity with Google Cloud Platform and its data services (e.g., BigQuery, Dataflow).

• Retail Domain

  : Understanding of retail business processes and data models is a plus.