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    Job · 18639693

    CHENNAI · FULLTIME

    Senior Data Engineer - Snowflake

    Staples logo

    Staples

    Chennai · onsite · Posted 31d ago

    Sourced fromFoundit
    Not disclosed4–7 yrsfulltimeChennai

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Duties & Responsibilities:
    • Lead the design, development, and optimization of ETL/ELT pipelines and workflows
    • Write, tune, and optimize advanced SQL queries for large-scale data processing
    • Build and maintain data warehouses and data models (relational, dimensional, star schema)
    • Translate business requirements into robust, well-architected, and reusable data solutions
    • Partner with analysts, data scientists, and stakeholders to deliver trusted, actionable datasets
    • Implement and maintain unit tests, integration tests, and validation frameworks to ensure pipeline reliability
    • Document workflows, and design decisions to support knowledge sharing and operational continuity
    • Apply coding standards, CI/CD practices, version control, and peer code reviews to ensure high-quality deliverables
    • Proactively monitor, optimize, and troubleshoot pipelines for performance, scalability, and cost efficiency
    • Support deployments and handle post-production monitoring and incident resolution
    • Mentor associate engineers, providing technical guidance and feedback

    Requirements

    Basic Qualifications:
    • Bachelor's degree in computer science, Information Systems, Engineering, or a related field
    • 4–7 years of hands-on experience in data engineering or related fields
    • Expertise in writing complex SQL queries, optimizing, using advanced functionals and turning the performance on cloud data warehouse environment.
    • Strong experience with data warehousing concepts, design, and implementation
    • Minimum 3 years of hands-on experience with Snowflake or modern cloud data warehouse
    • Minimum 2 years of hands-on experience in data modeling
    • Minimum 1 year of hands-on Python development (ETL/ELT scripting, OOP, automation)
    • Strong knowledge of at least one major cloud platform (AWS, Azure, or GCP)
    • Experience with orchestration tools (e.g., Airflow, ADF, Luigi) for workflow management
    • Demonstrated ability to lead and mentor teams while managing multiple priorities
    • Strong communication and stakeholder management skills
    • Strong hands-on experience with data warehousing concepts, design, and implementation

    Preferred Qualifications:
    • Hands-on experience with DBT (Data Build Tool) for data transformations
    • Familiarity with DevOps and CI/CD best practices in data engineering
    • Exposure with real-time/streaming platforms (Kafka, Spark Streaming, Flink)
    • Exposure to the e-commerce domain or large-scale B2B/B2C environments
    • Has the ability to break down problems and estimate time for development tasks
    • Experience mentoring and guiding junior engineers
    • Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team
    • Learns organization vision statement and decision-making framework. Able to understand how team and personal goals/objectives contribute to the organization vision

    Sourced from foundit

    Section · 02

    Skills

    Spark StreamingApache KafkaADFgoogle cloud platformamazon web servicesapache flinkapache airfloweltdbtLuigiPythonSQLData WarehousingSnowflakeETLMicrosoft AzureData Modeling

    Section · Company

    About Staples

    Staples logo

    Staples

    Retail

    50000-100000

    employees

    1986

    40 years old

    Mumbai, Maharashtra

    India

    ₹15.8L PA avg

    Avg at Staples

    About

    Staples serves as a major office supply provider and e-retailer, offering diverse solutions while emphasizing corporate responsibility and technological advancements.

    Industries

    Retail

    Employee ratings

    10 reviews

    3.4/ 5

    Culture

    3.5

    Career growth

    2.8

    Work-life

    3.5

    Employees rate it well for

    Company Culture37Skill Development36

    Find them on

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    Senior Data Engineer - Snowflake · waiting for your command