Jr. Data Engineer

YUM! Brands, Inc.; Haryana; Presencial; INR 600.000 - 900.000; Jornada completa

Descripción de la vacante

YUM! Brands, Inc. seeks a motivated Junior Data Engineer to support development, maintenance and operation of enterprise data solutions in a fast-paced engineering environment.

You will work under senior mentorship, applying SQL and Python fundamentals to build and optimize ETL pipelines, support data ingestion, and contribute to data warehousing efforts across multiple sources.

Formación

• Bachelor's degree in computer science, information systems, data engineering, or related field.
• 1+ years hands-on data engineering experience including internships.
• Strong SQL skills including complex queries, CTEs, window functions, joins, and stored procedures.
• Knowledge of data warehousing concepts (dimensional modeling, fact and dimension tables, ETL/ELT).
• Experience with Python for data processing and scripting.
• Experience building or supporting ETL/ELT pipelines.
• Experience with dbt Core, Informatica or Apache Airflow / Astronomer.
• Git/GitLab version control理解.

Responsabilidades

• Design, develop, and maintain ETL/ELT data pipelines for reporting and analytics.
• Write, optimize and troubleshoot complex SQL queries and database objects.
• Assist with data pipelines using Python, Snowflake, AWS, Informatica or Airflow/Astronomer and dbt.
• Support data ingestion, transformation, and loading across multiple sources.
• Contribute to data warehouse development including dimensional modeling.
• Monitor production pipelines and investigate data quality and reliability issues.
• Provide Level 1 production support and assist with incident triage and RCA.
• Create and maintain runbooks, documentation, and knowledge base.
• Collaborate with engineers, analysts, and stakeholders to deliver reliable data solutions.

Conocimientos

SQL

Python

ETL/ELT pipelines

Data Warehousing

Git/GitLab

Educación

Bachelor's degree in CS/IS/Data Engineering

Herramientas

dbt Core

Informatica

Apache Airflow/Astronomer

Snowflake

AWS

Descripción del empleo

We are seeking a motivated Junior Data Engineer with 1+ years of professional experience, including internship experience, to support the development, maintenance, and operation of enterprise data solutions. This role operates in a collaborative, fast-paced engineering environment with guidance and mentorship from senior team members. The ideal candidate will possess strong SQL and Python fundamentals, a solid understanding of data warehousing concepts, and a desire to learn modern cloud-based data technologies while contributing to production support and operational excellence.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines to support business reporting, analytics, and operational needs.
• Write, optimize, and troubleshoot complex SQL queries, stored procedures, views, and database objects.
• Assist with developing and supporting data pipelines using Python, Snowflake, AWS, Informatica or Apache Airflow/Astronomer, and dbt
• Support data ingestion, transformation, validation, and loading processes across multiple data sources.
• Assist with data warehouse development, including dimensional modeling, fact tables, and dimension tables.
• Monitor production data pipelines and investigate data quality, performance, and reliability issues.
• Participate in on-call support rotations, incident triage, root cause analysis (RCA), and issue resolution activities.
• Provide Level 1 production support for data pipelines, ETL processes, data warehouse objects, and reporting solutions.
• Perform routine maintenance activities, including job validation, configuration updates, data reconciliations, deployment validation, and system health checks.
• Analyze alerts, logs, and monitoring dashboards to identify and resolve operational issues proactively.
• Create and maintain operational documentation, runbooks, support procedures, and knowledge base articles.
• Escalate complex issues to senior engineers while providing detailed troubleshooting findings.
• Collaborate with data engineers, analysts, and business stakeholders to deliver reliable and scalable data solutions.
• Contribute to documentation, code reviews, testing activities, and continuous improvement initiatives.
• Follow engineering best practices for development, deployment, monitoring, support, and maintenance.

Required Qualifications

• Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field.
• 1+ years of hands-on Data Engineering experience, including internship experience.
• Strong SQL skills with experience writing complex queries, CTEs, window functions, joins, aggregations, and stored procedures.
• Knowledge of Data Warehousing concepts, including dimensional modeling, fact and dimension tables, and ETL/ELT processes.
• Experience with Python for data processing, automation, and scripting.
• Experience building, maintaining, or supporting ETL/ELT pipelines.
• Experience with one or more of the following technologies: dbt Core, Informatica or Apache Airflow / Astronomer
• Understanding version control systems such as Git and GitLab.
• Strong analytical, troubleshooting, and problem-solving skills.
• Willingness to participate in an on-call rotation and provide Level 1 production support, including monitoring, troubleshooting, documentation, incident triage, and escalation.

Preferred Qualifications

• Exposure to Snowflake, including SQL development, stored procedures, and cloud data warehousing concepts.
• Exposure to AWS services such as S3, Lambda, Glue, IAM, CloudWatch, and related cloud technologies.
• Exposure to Datadog or similar monitoring and observability platforms.
• Knowledge of at least one data integration, orchestration, or transformation tool, such as Informatica, Apache Airflow, Astronomer, or dbt.
• Basic understanding of ETL/ELT processes, data warehousing, dimensional