Data Engineer [T500-**]

  • Hyderabad
  • Inspire

Key Responsibilities:

We are looking for a Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will be required to possess strong technical, analytical, programming and critical thinking skills.


Responsibilities:

  • Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views.
  • Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
  • Support and troubleshoot the data environment (including periodically on call)
  • Document technical artifacts for developed solutions
  • Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships
  • Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills
  • Proactive approach to problem solving with effective influencing skills
  • Familiar with Agile practices and methodologies


Education and Experience Qualifications:

  • Four year degree in Information Systems, Finance / Mathematics, Computer Science or similar
  • 2-4 years of experience in Data Engineering


REQUIRED KNOWLEDGE, SKILLS or ABILITIES

Mandatory:

  • Advanced SQL queries, scripts, stored procedures, materialized views, and views.
  • Focus on ELT to load data into the database and perform transformations in the database.
  • Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift) is a required.
  • Data modeling, analysis, and programming(Python) are a must


Good to have:

  • Experience with DevOps models utilizing a CI/CD tool
  • Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
  • Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred
  • Analyze data models