Data Engineer

Company Overview

(Company details not specified)

Job Summary

The Data Engineer is responsible for designing, developing, and maintaining data processing systems and integrations. This role focuses on ensuring data availability and quality, enhancing reporting and analytics capabilities, and supporting data analysis needs throughout the implementation lifecycle.

Responsibilities

• Data Management:

  • Develop data mapping specifications and transformation rules.
  • Perform data cleansing, validation, and reconciliation activities.
  • Create and execute data conversion scripts and processes.
  • Document data models, mappings, and migration procedures.

• System Integration:

  • Configure integrations between Workday and third-party applications.
  • Develop integration specifications and technical designs.
  • Troubleshoot integration issues and implement solutions.
  • Monitor integration performance and implement optimizations.

• Technical Configuration & Development:

  • Design and implement Snowflake data models optimized for HR analytics.
  • Create and maintain Snowflake objects (tables, views, stored procedures).
  • Develop SQL transformations within Snowflake for reporting requirements.
  • Configure Workday modules according to design specifications.
  • Build and maintain business processes, security configurations, and reports.
  • Develop custom calculations, rules, and business logic.
  • Create and maintain configuration workbooks and technical documentation.
  • Participate in system testing, including unit, integration, and regression testing.

• Reporting & Analytics:

  • Develop reporting solutions using Snowflake as the data source.
  • Create data visualization dashboards connected to Snowflake.
  • Build self-service reporting capabilities for HR and business users.
  • Design and implement metrics and KPIs for HR analytics.

Qualifications

• Technical Skills:

  • Strong experience with Tableau, SQL, and Snowflake is mandatory.
  • Knowledge of Snowflake or similar cloud data warehouse platforms.
  • Experience with ETL processes and data validation techniques.
  • Strong SQL skills and familiarity with data transformation tools.
  • Understanding of HR data structures and relationships.
  • Knowledge of programming languages (e.g. Python).
  • Experience with data visualization tools.

• Soft Skills:

  • Excellent analytical and problem-solving abilities.
  • Understanding of API integration patterns and technologies.
  • Experience with agile development methodologies.

Preferred Skills

• Experience with architecting or working with ELT technologies (such as DBT) and data architectures.

Experience

• Minimum of 5 years of relevant experience in data engineering and management.

Environment

• Work mode: Hybrid (Location: Chennai / Bangalore).

Salary

(Salary details not specified)

Growth Opportunities

(Growth opportunities not specified)

Benefits

(Benefits information not specified)