Data Engineer

Job Title: Data Engineer<\/span><\/span><\/span><\/span>
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Experience:<\/span> <\/span><\/span>2\u20133 Years<\/span> <\/span><\/span><\/span><\/span><\/span>
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Location:<\/span> <\/span><\/span>Mumbai (Worli)<\/span><\/span><\/span><\/span> <\/span><\/span>
<\/span><\/span><\/span>Work Mode:<\/span> <\/span><\/span>Onsite<\/span><\/span><\/span><\/span><\/span><\/span><\/p><\/div>

Notice Period: Immediate or max<\/span> <\/span><\/span>15days<\/span> <\/span><\/span><\/span>preffered<\/span><\/span><\/span><\/span>
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Role Overview<\/span><\/span><\/span><\/span><\/span>
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We are<\/span> <\/span><\/span>seeking<\/span> <\/span><\/span>a talented and motivated<\/span> <\/span><\/span><\/span><\/span><\/span>Data Engineer<\/span><\/span><\/span><\/span><\/b> <\/span><\/span>with hands\-on experience in<\/span> <\/span><\/span><\/span><\/span><\/span>PySpark<\/span><\/span>, SQL, and Big Data technologies<\/span><\/span><\/span><\/span><\/b>. The ideal candidate will<\/span> <\/span><\/span>be responsible for<\/span> <\/span><\/span>designing, developing, and<\/span> <\/span><\/span>optimizing<\/span> <\/span><\/span>scalable data pipelines that support large\-scale data processing, analytics, and integration initiatives.<\/span><\/span><\/span><\/span>
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This role requires strong technical<\/span> <\/span><\/span>expertise<\/span> <\/span><\/span>in data engineering, backend development, and cloud technologies, along with the ability to work collaboratively in a fast\-paced environment.<\/span><\/span><\/span><\/span>
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Key Responsibilities<\/span><\/span><\/span><\/span><\/span>
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Design, develop, and<\/span> <\/span><\/span>maintain<\/span> <\/span><\/span>scalable ETL/ELT pipelines using<\/span> <\/span><\/span><\/span>PySpark<\/span><\/span> <\/span><\/span>and SQL.<\/span><\/span><\/span><\/span>
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- Process and manage large volumes of structured and unstructured data using Big Data technologies.<\/span><\/span><\/span><\/span>
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  - Build,<\/span> <\/span><\/span>optimize, and troubleshoot Spark\-based data processing workflows.<\/span><\/span><\/span><\/span>
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    Develop and implement efficient data models and schema designs to support business requirements.<\/span><\/span><\/span><\/span>
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    Create and<\/span> <\/span><\/span>maintain<\/span> <\/span><\/span>backend services using Python frameworks such as<\/span> <\/span><\/span><\/span>FastAPI<\/span><\/span> <\/span><\/span>or Flask.<\/span><\/span><\/span><\/span>
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    Design, develop, and support RESTful APIs for data access and integration.<\/span><\/span><\/span><\/span>
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    Ensure data quality, integrity, performance, and reliability across data platforms.<\/span><\/span><\/span><\/span>
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    Collaborate with Data Scientists, Analysts, Product Teams, and other stakeholders to deliver data\-driven solutions.<\/span><\/span><\/span><\/span>
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    Monitor and<\/span> <\/span><\/span>optimize<\/span> <\/span><\/span>pipeline performance, scalability, and resource<\/span> <\/span><\/span>utilization.<\/span><\/span><\/span><\/span>
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    Participate in code reviews, testing, deployment, and production support activities.<\/span><\/span><\/span><\/span>
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    Contribute to architecture discussions and best practices for data engineering solutions.<\/span><\/span><\/span><\/span>
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    Required Qualifications<\/span><\/span><\/span><\/span><\/span>
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    Bachelor's degree in Computer Science<\/span><\/span>, Information Technology, Engineering, or<\/span> <\/span><\/span><\/span>a related<\/span><\/span> <\/span><\/span>field.<\/span><\/span><\/span><\/span>
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    2\u20133 years of experience in Data Engineering or Big Data development.<\/span><\/span><\/span><\/span>
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    Strong hands\-on<\/span> <\/span><\/span>expertise<\/span> <\/span><\/span>in<\/span> <\/span><\/span><\/span>PySpark<\/span><\/span> <\/span><\/span>and SQL.<\/span><\/span><\/span><\/span>
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    Experience working with Spark and Hadoop\-based ecosystems.<\/span><\/span><\/span><\/span>
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    Proficiency<\/span> <\/span><\/span>in Python development and API creation.<\/span><\/span><\/span><\/span>
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    Understanding of<\/span><\/span> <\/span><\/span>cloud\-native data solutions on AWS or Azure.<\/span><\/span><\/span><\/span>
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    Strong analytical and problem\-solving skills.<\/span><\/span><\/span><\/span>
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    Key Competencies<\/span><\/span><\/span><\/span><\/span>
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    Data Engineering Expertise,Problem Solving, Performance Optimization,Collaboration & Teamwork,Attention to Detail,<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>
    <\/span> <\/span><\/span><\/span><\/span><\/span>Preferred Candidate Profile<\/span><\/span><\/span><\/span><\/span><\/span><\/span>
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    Experience building scalable enterprise data pipelines.<\/span><\/span><\/span><\/span><\/span><\/span>
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    Familiarity with real\-time data processing and event\-driven<\/span> <\/span><\/span><\/span>architectures<\/span><\/span>.<\/span><\/span><\/span><\/span><\/span><\/span>
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