Teradata Developer

VOIS; Pune District; Hybrid; INR 900,000 - 1,200,000; Full time

Job summary

VOIS in Pune, India seeks a Data Analyst to develop and maintain applications for our data analytics team. The role involves creating data structures and managing ETL processes while ensuring data consistency. Ideal candidates are detail-oriented with strong SQL and cloud technology skills.

Responsibilities include collaborating with cross-functional teams and resolving data issues. Join us to leverage your expertise in a collaborative environment focused on quality and improvement in data operations.

Qualifications

• Strong understanding of business context and ability to translate evolving requirements into robust data solutions.
• Detail-oriented data professional with a passion for solving complex problems through data.
• Proactive and committed to delivering high-quality solutions that meet stakeholder needs.

Responsibilities

• Develop and maintain the Application Layer focusing on backend data structures and transformation logic.
• Design and implement ETL processes from source systems into the Data Warehouse.
• Support operations teams in resolving data quality and consistency issues.

Skills

Advanced SQL scripting

ETL development and maintenance

Linux/Unix Shell Scripting

Education

Bachelor's degree in a related field

Tools

Google Cloud Platform

Version control tools (e.g., Git)

Scheduling tools (e.g., Control-M)

Job description

Role Title: Data Analyst

Function: Data & Analytics

Role Type: Permanent

About this Role

As a Data Analyst within the Data & Analytics (D&A) team, you will play a pivotal role in developing and maintaining the Application Layer that interfaces directly with our D&A customers. This role requires a strong understanding of business context and the ability to translate evolving requirements into robust data solutions. You will be responsible for backend development, including the creation of data structures, data marts, and transformation pipelines that support regular service operations. The role also involves developing ETLs from source systems into the Data Warehouse and ensuring data consistency and quality in an agile environment.

Who are you

You are a detail-oriented data professional with a passion for solving complex problems through data. You thrive in collaborative environments, are comfortable working with large datasets, and have a strong foundation in SQL and cloud-native technologies. You are proactive, adaptable, and committed to delivering high-quality solutions that meet stakeholder needs.

What you will do

• Develop and maintain the Application Layer, focusing on backend data structures and transformation logic.
• Design and implement ETL processes from source systems into the Data Warehouse.
• Collaborate with cross-functional teams to stabilise and clarify business requirements.
• Support operations teams in resolving data quality and consistency issues.
• Drive system optimisation and simplification initiatives.
• Provide a seamless and efficient experience for business stakeholders.

Primary Skills

• Advanced SQL scripting (Teradata SQL preferred)
• ETL development and maintenance
• Linux/Unix Shell Scripting

Alternate Skills (Preferred)

• Version control tools (e.g., Git)
• Scheduling tools (e.g., Control-M)
• Google Cloud Platform (BigQuery, DataForm, DataProc)

Core Competencies

• Strong data interpretation and analytical skills
• Experience with large datasets (tens of millions of rows)
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
• Proven ability to manage multiple stakeholders and deliver on commitments
• Strong problem-solving and decision-making capabilities

  Experience

  • 68 years in data engineering, data warehousing, or ETL development
  • Experience in designing and modifying data models
  • Hands-on experience with cloud-native platforms (GCP preferred)
  • Exposure to the telecommunications industry is an advantage

  Technical Qualifications

  • Proficiency in SQL and Python scripting
  • Familiarity with structured and unstructured data handling
  • Understanding of end-to-end system landscapes

  What skills you will learn

  • Advanced cloud-native data engineering practices
  • Agile methodologies for data product development
  • Cross-functional collaboration in a global enterprise environment
  • Continuous improvement and automation in data operations
  • Exposure to cutting-edge tools and technologies in the data ecosystem

  Key Performance Indicators

  • Technical expertise and delivery quality
  • Accountability and ownership of assigned tasks
  • Effective stakeholder management and communication
  • Responsiveness to risks and issues
  • Proactive identification of improvement opportunities
  • Collaborative team contribution and problem-solving mindset

  We pursue equality of opportunity and inclusion for all candidates through our employment policies and practices. We recognise and celebrate the importance of diversity and inclusivity in our workspace and we do not tolerate any form of discrimination especially related to but not limited to race, colour, age, veteran status, gender identification, sexual orientation, pregnancy, ethnicity, disability, religion, political affiliation, trade union membership, nationality, indigenous status, medical condition, HIV status, social origin, cultural background, social, or marital status.