Staples India Business Innovation Hub

Data Engineer - BI (Chennai)

Staples India Business Innovation Hub

Chennai•On-site•1-3 Yrs•Jun 24

Job description

Overview

<\/div>Design, develop, and maintain scalable ETL/ELT data pipelines to support business and analytics needs

Responsibilities

<\/div>Design, develop, and maintain scalable ETL/ELT data pipelines to support business and analytics needs
<\/div>Write, tune, and optimize complex SQL queries for data transformation, aggregation, and analysis
<\/div>Translate business requirements into well -designed, documented, and reusable data solutions
<\/div>Partner with analysts, data scientists, and stakeholders to deliver accurate, timely, and trusted datasets
<\/div>Automate data workflows using orchestration/scheduling tools (Airflow, ADF, Luigi,Databricks etc.)
<\/div>Develop unit tests, integration tests, and validation checks to ensure data accuracy and pipeline reliability
<\/div>Document pipelines, workflows, and design decisions for knowledge sharing and operational continuity
<\/div>Apply coding standards, version control practices, and peer code reviews to maintain high -quality deliverables
<\/div>Proactively troubleshoot, optimize, and monitor pipelines for performance, scalability, and cost efficiency
<\/div>Support function roll outs, including being available for post -production monitoring and issue resolution
<\/div><\/span>
<\/div>Design, develop, and maintain scalable ETL/ELT data pipelines to support business and analytics needs
<\/div>Write, tune, and optimize complex SQL queries for data transformation, aggregation, and analysis
<\/div>Translate business requirements into well -designed, documented, and reusable data solutions
<\/div>Partner with analysts, data scientists, and stakeholders to deliver accurate, timely, and trusted datasets
<\/div>Automate data workflows using orchestration/scheduling tools (Airflow, ADF, Luigi,Databricks etc.)
<\/div>Develop unit tests, integration tests, and validation checks to ensure data accuracy and pipeline reliability
<\/div>Document pipelines, workflows, and design decisions for knowledge sharing and operational continuity
<\/div>Apply coding standards, version control practices, and peer code reviews to maintain high -quality deliverables
<\/div>Proactively troubleshoot, optimize, and monitor pipelines for performance, scalability, and cost efficiency
<\/div>Support function roll outs, including being available for post -production monitoring and issue resolution
<\/div><\/span>

Qualifications

<\/div>Bachelors degree in computer science, Information Systems, Engineering, or a related field
<\/div>35 years of hands -on experience in data engineering and building data pipelines
<\/div>At least 3 years of experience in writing complex SQL queries in a cloud data warehouse/ data lake setting.
<\/div>At least 2 years experience in BI development ( e.g. Power BI preferred,Tableau )
<\/div>Solid hands -on experience with data warehousing concepts and implementations
<\/div>At least 3 year of experience with Snowflake or another modern cloud data warehouse
<\/div>At least 3 year of hands -on Python/ Pyspark development (scripting, OOP, ETL/ELT automation)
<\/div>Familiarity on Data modeling and Data warehousing concepts
<\/div>Experience with orchestration tools (e.g., Airflow, ADF, Luigi,Databricks Workflow)
<\/div>Familiarity with at least one cloud platform (AWS, Azure, or GCP)
<\/div>Strong analytical, problem -solving, and communication skills
<\/div>Ability to work both independently and as part of a collaborative team
<\/div>Preferred Qualifications
<\/div>Experience with DBT (Data Build Tool) for data transformations
<\/div>Exposure to Databricks stack.
<\/div>Familiarity with CI/CD and version control (Git) in data engineering projects
<\/div>Exposure to the e -commerce or customer data domain
<\/div>Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team
<\/div><\/span> Duties &
<\/div>Bachelors degree in computer science, Information Systems, Engineering, or a related field
<\/div>35 years of hands -on experience in data engineering and building data pipelines
<\/div>At least 3 years of experience in writing complex SQL queries in a cloud data warehouse/ data lake setting.
<\/div>At least 2 years experience in BI development ( e.g. Power BI preferred,Tableau )
<\/div>Solid hands -on experience with data warehousing concepts and implementations
<\/div>At least 3 year of experience with Snowflake or another modern cloud data warehouse
<\/div>At least 3 year of hands -on Python/ Pyspark development (scripting, OOP, ETL/ELT automation)
<\/div>Familiarity on Data modeling and Data warehousing concepts
<\/div>Experience with orchestration tools (e.g., Airflow, ADF, Luigi,Databricks Workflow)
<\/div>Familiarity with at least one cloud platform (AWS, Azure, or GCP)
<\/div>Strong analytical, problem -solving, and communication skills

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Data Engineer - BI (Chennai)

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