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    Job · 12939088

    BENGALURU · FULLTIME

    Data Engineer (ETL)

    Luxoft logo

    Luxoft

    Bengaluru · onsite · Posted 61d ago

    Sourced fromNaukri
    Undisclosed3–6 yrsfulltimeBengaluru

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

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    Section · 01

    About this role

    Job Summary
    As a data engineer you will be responsible for data analytics part for product insights including user data, telemetry, and other sources.
    Responsibilities
    • Design, develop, and maintain scalable ETL/ELT pipelines for cloud-based data platforms.
    • Build and support data integrations between Google Analytics and AWS environments.
    • Work with GCP data sources, including user and CRM data, and process/analyze data using BigQuery.
    • Design and maintain AWS data pipelines using Amazon Redshift, Amazon S3, and AWS Glue.
    • Develop data ingestion, transformation, and loading processes for Redshift-based data warehouses.
    • Implement and maintain DynamoDB backup, restore, and data extraction processes.
    • Build reliable data flows between S3, Glue, DynamoDB, and Redshift.
    • Optimize SQL queries, data models, ETL jobs, and Redshift performance for large datasets.
    • Implement data quality checks, monitoring, logging, and error-handling mechanisms across data pipelines.
    • Troubleshoot data pipeline failures, data inconsistencies, and performance issues.
    • Ensure data security, integrity, availability, and appropriate access controls across AWS environment.
    • Collaborate with analytics, CRM, application, and business teams to understand data requirements and deliver reliable datasets for downstream consumption.
    • Maintain technical documentation for data pipelines, transformations, data mappings, and operational procedures.
    Skills
    • ETL/ELT development and data integration
    • Amazon Redshift
    • Amazon S3
    • AWS Glue
    • BigQuery
    • Amazon DynamoDB
    • SQL
    • Python
    • Data warehousing concepts and data modeling
    Nice to have
    • Working in an Agile environment and closely collaborating with various departments.

    Sourced from naukri

    Section · 02

    Skills

    data extractionAws GlueAutomationAgilecrmAccess ManagementData EngineerData ingestionanalytical thinkingamazon web servicesredshiftamazon s3bigqueryAnalyticsComplex QueriesCloud DataCloud InfrastructureData Analyticscloud

    Section · Company

    About Luxoft

    Luxoft logo

    Luxoft

    IT Services & Consulting

    2.3k+

    employees

    2000

    26 years old

    Zug, Switzerland

    Switzerland

    About

    Luxoft offers the full spectrum of enterprise technology services, from modernizing legacy IT systems to delivering digital transformation at scale.

    Industries

    IT Services & Consulting

    Employee ratings

    832 reviews

    3.6/ 5

    Culture

    3.6

    Career growth

    2.7

    Work-life

    3.9

    Employees rate it well for

    Work Life Balance165Salary128Senior Management87Work Culture76Appraisal64

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    Data Engineer (ETL) · waiting for your command