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Data Engineer

Data Engineer

Invokhr

1 - 5 years

0 Lacs

India

Posted:1 week ago| Platform: GlassDoor logo

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Skills Required

data python java aws git etl programming sql scala spark pyspark kafka apache processing gcp azure airflow storage collaborative coding optimization tuning indexing query technology engineering development database management

Work Mode

Remote

Job Type

Part Time

Job Description

JOB DESCRIPTION Data Engineer Desired Skills: Python, Java, AWS, Git, ETL tools Experience: 1-5 Years Location: India (Remote) Required Skills & Qualifications: Programming: Strong proficiency in Python and SQL, with additional experience in languages such as Java or Scala. Big Data Technologies: Hands-on experience with frameworks like Spark (PySpark), Kafka, Apache Hudi, Iceberg, Apache Flink, or similar tools for distributed data processing and real-time streaming. Cloud Platforms: Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure for building and managing data infrastructure. Data Warehousing & Modeling: Strong understanding of data warehousing concepts and data modeling principles.
ETL Frameworks: Experience with ETL tools such as Apache Airflow or comparable data transformation frameworks. Data Lakes & Storage: Proficiency in working with data lakes and cloudbased storage solutions like Amazon S3, Google Cloud Storage, or Azure Blob Storage. Version Control: Expertise in Git for version control and collaborative coding. Performance Optimization: Expertise in performance tuning for largescale data processing, including partitioning, indexing, and query optimization.
Education & Experience: Bachelors Degree: Bachelors degree in Computer Science, Information Technology, or equivalent experience. Professional Experience: 15 years of experience in data engineering, ETL development, or database management. Cloud-Based Environments: Prior experience in cloud-based environments (e.g., AWS, GCP, Azure) is highly desirable. Large-Scale Datasets: Proven experience working with large-scale datasets in production environments, with a focus on performance tuning and optimization.

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Data Engineer