Data Engineer, Circle K

Circle K

Location:
India, Gurugram

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

We are looking for a Data Engineer with a collaborative, “can-do” attitude who is committed & strives with determination and motivation to make their team successful. A Data Engineer who has experience implementing technical solutions as part of a greater data transformation strategy. This role is responsible for hands on sourcing, manipulation, and delivery of data from enterprise business systems to data lake and data warehouse. This role will help drive Circle K’s next phase in the digital journey by transforming data to achieve actionable business outcomes.

Job Responsibility:

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources that are most relevant to business needs and goals
Demonstrate technical and domain knowledge of relational and non-relational databases, Data Warehouses, Data lakes among other structured and unstructured storage options
Determine solutions that are best suited to develop a pipeline for a particular data source
Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development
Efficient in ELT/ETL development using Azure cloud services and Snowflake, including Testing and operational support (RCA, Monitoring, Maintenance)
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines for scalable analytics deliver
Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders
Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability)
Stay current with and adopt new tools and applications to ensure high quality and efficient solutions
Build cross-platform data strategy to aggregate multiple sources and process development datasets
Proactive in stakeholder communication, mentor/guide junior resources by doing regular KT/reverse KT and help them in identifying production bugs/issues if needed and provide resolution recommendation

Requirements:

Bachelor’s degree in Computer Engineering, Computer Science or related discipline, Master’s Degree preferred
3+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
3+ years of experience with setting up and operating data pipelines using Python or SQL
3+ years of advanced SQL Programming: PL/SQL, T-SQL
3+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
3+ years of strong and extensive hands-on experience in Azure, preferably data heavy/analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
3+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
3+ years of experience in defining and enabling data quality standards for auditing, and monitoring
Strong analytical abilities and a strong intellectual curiosity
In-depth knowledge of relational database design, data warehousing and dimensional data modeling concepts
Understanding of REST and good API design
Experience working with Apache Iceberg, Delta tables and distributed computing frameworks
Strong collaboration, teamwork skills, excellent written and verbal communications skills
Self-starter and motivated with ability to work in a fast-paced development environment
Agile experience highly desirable
Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools

Nice to have:

Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Strong working knowledge of Snowflake, including warehouse management, Snowflake SQL, and data sharing techniques
Experience building pipelines that source from or deliver data into Snowflake in combination with tools like ADF and Databricks
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)
Hands on experience in Databases like (Azure SQL DB, MySQL/, Cosmos DB etc.), File system (Blob Storage), Python/Unix shell Scripting
ADF, Databricks and Azure certification is a plus

Additional Information:

Job Posted:
June 18, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data Engineer