Senior Data Innovation Leader

2 days ago


Ghaziabad, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview

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We are seeking a highly skilled Data Engineer to lead our technology innovation and product development. As a key member of our team, you will be responsible for designing and implementing data engineering jobs/processes with architects and data modelers.

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  • You will collaborate with product owners to understand business needs and develop practical solutions.
  • Advanced SQL queries, scripts, stored procedures, materialized views, and views are essential skills for this role.
  • We are looking for someone with experience in Cloud Data Warehouse solutions, data modeling, analysis, programming, and DevOps models.
  • Candidates should also have knowledge of CI/CD tools, Azure Cloud Platform, ADLS, Blob, Talend, Apache Airflow, TWS, Azure Data Factory, and BI tools like Tableau.
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Key Responsibilities

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  • Collaborate with product owners to understand business needs.
  • Design technical details of data engineering jobs/processes with architects and data modelers.
  • Lead sessions with data engineers to solve technical challenges.
  • Develop and enhance data processing components (ingest, transformation, store, management, quality).
  • Contribute to setting up and refining data engineering best practices.
  • Ensure coding standards, best practices, and production-deployable code are met.
  • Support and troubleshoot data environments, performance tuning, and documentation.
  • Build relationships with multiple teams within the organization.
  • Define practical solutions and master new skills.
  • Apply Agile practices and methodologies.
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Requirements

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  • A 4-year Bachelor's degree in computer science, data science, or related field is required.
  • 8-10 years of experience in Data Engineering is necessary.
  • Strong problem-solving skills and attention to detail are essential.
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Benefits

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Inspire Brands Inc. provides equal employment opportunities without regard to race, color, sex, religion, national origin, ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service, or veteran status.


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