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    Job · 16266301

    HYDERABAD · FULLTIME

    Data Engineer

    Global Media Insight (India) logo

    Global Media Insight (India)

    Hyderabad · hybrid · Posted 44d ago

    Sourced fromNaukri
    Undisclosed4–9 yrsfulltimeHyderabad

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

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    Section · 01

    About this role

    Required Skills & Experience

    - 3-5 years of experience in data engineering or a related field.

    - Strong expertise in SQL, data modeling, and data warehouse concepts.

    - Hands-on experience with Azure Data Services (Azure Data Factory, Azure Synapse, Azure Databricks, etc.).

    - Proficiency in Snowflake and its ecosystem, including performance tuning and optimization.

    - Experience with data streaming technologies such as Apache Kafka, Spark Streaming, or Azure Event Hubs.

    - Strong programming skills in Python, Scala, or Java for data processing.

    - Knowledge of data governance, security, and compliance best practices.

    - Ability to work in agile environments and collaborate effectively with cross-functional teams.


    Nice to Have Skills & Experience

    - Experience with orchestration tools like Apache Airflow or Azure Data Factory.

    - Familiarity with CI/CD pipelines and DevOps practices in data engineering.

    - Knowledge of machine learning pipelines and MLOps is a plus.

    - Experience working with Big Data technologies such as Hadoop, Spark, or Delta Lake.


    Job Description

    The ideal candidate will have extensive experience in data warehouse concepts, streaming data processing, Azure cloud services, Snowflake, and SQL. This role will be responsible for designing, building, and optimizing data pipelines, ensuring efficient data management and accessibility to support business intelligence and analytics.

    Design, develop, and maintain data pipelines and ETL processes for structured and unstructured data.

    - Implement and optimize data warehouse solutions using Snowflake and Azure technologies.

    - Work with real-time data streaming technologies such as Apache Kafka, Azure Event Hubs, or similar.

    - Develop and optimize SQL queries for data transformation, aggregation, and analysis.

    - Ensure data integrity, security, and governance by implementing best practices.

    - Collaborate with cross-functional teams to understand data needs and deliver efficient solutions.

    - Monitor, troubleshoot, and improve performance of existing data pipelines and systems.

    - Stay up to date with industry trends and emerging technologies in data engineering.

    Sourced from naukri

    Section · 02

    Skills

    Spark StreamingScalaApache Kafkadata warehouseADFData StreamingData EngineeringPythonSQLJavaAzure Data FactoryAzure DatabricksSnowflakeETLMicrosoft AzureData Modeling

    Section · Company

    About Global Media Insight (India)

    Global Media Insight (India) logo

    Global Media Insight (India)

    Financial Services

    Kochi

    headquarters

    ₹4.2L PA avg

    Avg at Global Media Insight (India)

    About

    Insight Global is an international professional services and staffing company specializing in delivering talent and technical solutions to Fortune 1000 companies across the IT, Non-IT, Healthcare, and Engineering industries. Fueled by staffing and talent experts, Evergreen, our professional services brand, brings technical advisors and culture consultants to help customers tackle their biggest challenges. With over 70 locations across North America, Europe, and Asia, and global staffing capabilities in 50+ countries, our teams of tech-enabled recruiters are dedicated to finding the right talent and technical solutions to help our customers thrive. At our core, we are dedicated to empowering people to do great things. Thats why were passionate about developing our people personally, professionally, and financially so they can be the light to the world around them. To find out more, visit www.insightglobal.com

    Industries

    Financial Services

    Employee ratings

    10 reviews

    3.2/ 5

    Culture

    3.0

    Career growth

    2.8

    Work-life

    3.7

    Employees rate it well for

    Work-Life Balance37Overall Company32

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    Data Engineer · waiting for your command