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    Senior Data Engineer - Bengaluru, India - tsworks

    tsworks
    tsworks Bengaluru, India

    1 day ago

    Default job background
    Technology / Internet
    Description

    Who We Are

    tsworks Technologies India Private Limited (subsidiary of The Software Works, Inc, USA) is a technology product and services company. Our mission is to provide domain expertise, innovative solutions and thought leadership to empower businesses to thrive in a digital world. We value our employees, take pride in providing best value in customer engagements defined by your skills, ideas, and attitude.

    About This Role

    tsworks Technologies India Private Limited is seeking driven and motivated Senior Data Engineers to join its Digital Services Team. You will get hands-on experience with projects employing industry-leading technologies. This would initially be focused on the operational readiness and maintenance of existing applications and would transition into a build and maintenance role in the long run.

    • Position: Senior Data Engineer
    • Experience: 8+ Years
    • Location: Bengaluru, India (Hybrid/Remote)

    Mandatory Required Qualification

    • Strong proficiency in Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, etc.
    • Expertise in DevOps and CI/CD implementation
    • Excellent Communication Skills

    In This Role, You Will

    • Design, implement, and manage scalable and efficient data architecture on the Azure cloud platform.
    • Develop and maintain data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
    • Perform complex data transformations and processing using Azure Data Factory, Azure Databricks, Snowflake's data processing capabilities, or other relevant tools.
    • Develop and maintain data models within Snowflake and related tools to support reporting, analytics, and business intelligence needs.
    • Collaborate with cross-functional teams to understand data requirements and design appropriate data integration solutions.
    • Integrate data from various sources, both internal and external, ensuring data quality and consistency.
    • Ensure data models are designed for scalability, reusability, and flexibility.
    • Implement data quality checks, validations, and monitoring processes to ensure data accuracy and integrity across Azure and Snowflake environments.
    • Adhere to data governance standards and best practices to maintain data security and compliance.
    • Handling performance optimization in ADF and Snowflake platforms
    • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver actionable insights.
    • Provide guidance and mentorship to junior team members to enhance their technical skills.
    • Maintain comprehensive documentation for data pipelines, processes, and architecture within both Azure and Snowflake environments including best practices, standards, and procedures.

    Skills & Knowledge

    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • 8 + Years of experience in Information Technology, designing, developing, and executing solutions.
    • 3+ Years of hands-on experience in designing and executing data solutions on Azure cloud platforms as a Data Engineer.
    • Strong proficiency in Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, etc.
    • Familiarity with Snowflake data platform is a good to have experience.
    • Hands-on experience in data modelling, batch, and real-time pipelines, using Python, Java or JavaScript and experience working with Restful APIs are required.
    • Expertise in DevOps and CI/CD implementation.
    • Hands-on experience with SQL and NoSQL databases.
    • Hands-on experience in data modelling, implementation, and management of OLTP and OLAP systems.
    • Experience with data modelling concepts and practices.
    • Familiarity with data quality, governance, and security best practices.
    • Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
    • Familiarity with machine learning concepts and integration of ML pipelines into data workflows
    • Hands-on experience working in an Agile setting.
    • Is self-driven, naturally curious, and able to adapt to a fast-paced work environment.
    • Can articulate, create, and maintain technical and non-technical documentation.
    • Public cloud certifications are desired.
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