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Data Engineer - ETL

Fresher   Indore, Madhya Pradesh   19 Aug, 2025
Job LocationIndore, Madhya Pradesh
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Golden Eagle IT Technologies Pvt. Ltd. is looking for a skilled Data Engineer with 2 to 4 years of experience to join the team in Indore. The ideal candidate should have a solid background in data engineering, big data technologies, and cloud platforms. As a Data Engineer, you will be responsible for designing, building, and maintaining efficient, scalable, and reliable data pipelines.You will be expected to develop and maintain ETL pipelines using tools like Apache Airflow, Spark, and Hadoop. Additionally, you will design and implement data solutions on AWS, leveraging services such as DynamoDB, Athena, Glue Data Catalog, and SageMaker. Working with messaging systems like Kafka for managing data streaming and real-time data processing will also be part of your responsibilities.Proficiency in Python and Scala for data processing, transformation, and automation is essential. Ensuring data quality and integrity across multiple sources and formats will be a key aspect of your role. Collaboration with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions is crucial. Optimizing and tuning data systems for performance and scalability, as well as implementing best practices for data security and compliance, are also expected.Preferred skills include experience with infrastructure as code tools like Pulumi, familiarity with GraphQL for API development, and exposure to machine learning and data science workflows, particularly using SageMaker.Qualifications for this position include a Bachelors degree in Computer Science, Information Technology, or a related field, along with 2-4 years of experience in data engineering or a similar role. Proficiency in AWS cloud services and big data technologies, strong programming skills in Python and Scala, knowledge of data warehousing concepts and tools, as well as excellent problem-solving and communication skills are required.,

Keyskills :
data engineeringSparkHadoopAWSDynamoDBAthenaKafkaPythonScaladata processingdata transformationdata qualitydata integritydata securitycompliancemachine learningbig data technologiescloud platformsETL pipelinesApache AirflowGlue Data Cat

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