Data Engineer [T500-23064]

Inspire; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading restaurant technology company is seeking a skilled Data Engineering Support Analyst to ensure the smooth operation of data systems. The role requires 3-5 years of experience in data engineering and proficiency in tools like Snowflake, Databricks, and Azure Data Factory. Responsibilities include providing L1/L2 support, troubleshooting issues, and implementing data pipelines. Strong problem-solving skills and the ability to work cooperatively with teams are essential. Flexible availability for weekend coverage is also required.

Qualifications

• 3 - 5 years of experience in data engineering support.
• Proven experience in data analysis and operational support.
• Strong knowledge of data warehousing concepts.

Responsibilities

• Provide maintenance for the data engineering platform.
• Monitor jobs and troubleshoot failures.
• Ensure data availability SLA is met.
• Collaborate with data engineers to resolve issues.
• Document processes and procedures.

Skills

Snowflake

SNOWSQL

Databricks

Scala

Pi-spark

Data analysis

Problem-solving

Education

Bachelor's degree in computer science or related field

Tools

Azure Data Factory

Job description

Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company’s technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company’s business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.

Job Description

We are seeking a skilled and motivated Data Engineering Support Analyst to join our team. As a Data Engineering Support Analyst, you will play a crucial role in ensuring the smooth operation and support of our data engineering. Your primary responsibility will be to provide monitoring, and technical assistance, troubleshoot issues, and maintain the reliability and efficiency of our data systems.

Experience Range

• 3 - 5 years

Responsibilities

• Provide L1 / L2 support and maintenance for the data engineering platform.
• Monitor Jobs, troubleshoot failures, and provide the fix to failed jobs.
• Ensure data availability SLA is met.
• Resolve data quality issues by reloading the data into production environments.
• Proactively identify areas for improvement.
• Collaborate with data engineers and other teams to diagnose and resolve technical issues.
• Troubleshoot data-related problems, including data quality issues and job failures.
• Implement and maintain data pipelines, ensuring their reliability and efficiency.
• Assist in the development and optimization of data processing workflows.
• Document processes, procedures, and troubleshooting steps for reference and training purposes.
• Collaborate with cross-functional teams to ensure data infrastructure meets business needs.
• Stay updated with industry trends and best practices in data engineering and support.

Requirements

• Bachelor's degree in computer science, Information Technology, or a related field.
• Experience of 2-3 years in delivering operational support for Data Platforms.
• Proven experience in data engineering, data analysis, or a similar role.
• Strong knowledge of Snowflake, SNOWSQL, and Databricks.
• Proficiency in scripting or programming languages (Scala, Pi-spark).
• Familiarity with data warehousing concepts and technologies.
• Experience with data pipeline tools (Azure Data Factory, Databricks, SNOWSQL)
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaborate effectively in a team environment.
• Strong communication skills to convey technical concepts to non-technical stakeholders.
• Flexible availability for weekend and public holiday coverage on a rotational schedule.
• Adaptability and willingness to learn new technologies and methodologies