Data Engineer

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
2-6 years
Chennai, Tamil Nadu
Data Science Analytics & Machine Learning
Work from Office
Full Time

Posted: 1 year ago
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Job Description

    As a Data Engineer at our company, your role will involve building large scale, highly available, fault-tolerant data analytics platforms & data pipelines that support advanced analytics like modeling and machine learning. You will work in a fully agile environment, ensuring timely delivery with high quality. Collaboration with business and data science teams is key to designing and developing products. You will independently own components, review design documents, provide design guidance, and champion data engineering best practices.

    Key Responsibilities:

    • Build large scale, fault-tolerant data analytics platforms & data pipelines
    • Work in an agile environment to deliver high-quality results on time
    • Collaborate with business and data science teams to design and develop products
    • Independently own components and review code to ensure quality
    • Establish data engineering best practices and promote their adoption

    Qualifications Required:

    • 2+ years of experience in software product development
    • Bachelor's or Master's degree in engineering, preferably in computer science
    • Strong grasp of CS fundamentals and problem-solving abilities
    • Experience in building highly scalable databases, data pipelines, and working with data scientists
    • Proficiency in Python, SQL, (py)Spark, Cassandra, AWS data pipeline stack (Athena, S3, Glue data catalog, etc.), Airflow
    • Experience with RDBMS (preferably MySQL) and NoSQL datastores
    • Familiarity with data lakes, warehouses, ETL/ELT paradigms, and modern data engineering architectures
    • Previous experience in an agile development environment

    Please note that all experience should be from a product development or e-commerce background, and stability in previous associations is essential.

    (Optional) Additional Details:

    • Basic knowledge of statistical analysis, mathematical modeling, and machine learning is a plus
    • Experience with cloud technologies like Microservices, Docker, Kubernetes, Gradle, Kafka, GIT, unit/integration tests, Grafana, Kibana, Jira, Prometheus, Redis

    - Job Location: Bangalore (Hybrid - Work from Office),

Skills

Advanced AnalyticsData AnalyticsPythonData ScienceEtlMachine LearningMysqlData EngineerAnalyticsSqlAirflowSQLELTPythonAWSCassandraRDBMSNoSQLSparkETL

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