Data Engineer/Senior Data Engineer

undefined ago • 3-7 Years • Data Analysis

Job Summary

Job Description

We are looking for a skilled Data Engineer to build and maintain data systems and pipelines. You will analyze and organize raw data, build algorithms and prototypes, and collaborate with data scientists to enhance data quality and reliability while supporting business objectives.
Must have:
  • Analyze and organize raw data
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects
Good to have:
  • Exposure to MS Excel
  • macros
  • Cloud data integration tools (Airflow, Kubernetes, Fivetran, dbt)
  • Azure Data Engineer certification
  • Data Analysis certification
  • SQL certification
  • Snowflake certification

Job Details

Job Summary:

We are looking for a skilled Data Engineer to build and maintain data systems and pipelines. You will analyze and organize raw data, build algorithms and prototypes, and collaborate with data scientists to enhance data quality and reliability while supporting business objectives.

Key Responsibilities:

  • Analyze and organize raw data
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects

Required Qualifications:

  • Bachelor's degree in Computer Science or related field (B.E/BTech/MCA/MSC)
  • 3-7 years of working experience as ETL/ELT developer or Data Engineer
  • Excellent command over SSIS, Azure Data Lakes, Databricks and Azure Data Factory
  • Proficiency in Python or PySpark for ETL pipelines
  • Strong SQL skills (stored procedures, views, functions)
  • Hands-on experience with Fivetran, Snowflake
  • Experience working with multiple data sources to meet business requirements
  • Understanding of data warehouse fundamentals and database modeling
  • Experience in designing ETL data flows with version control (preferably Azure DevOps)
  • Experience with agile methodologies (Scrum/Kanban)
  • Strong interpersonal skills for working in intercultural environments

Preferred Qualifications:

  • Exposure to MS Excel and macros
  • Experience with cloud data integration tools (Airflow, Kubernetes, Fivetran, dbt)
  • Azure Data Engineer, Data Analysis, SQL, or Snowflake certifications

Our Hogarth Values:

Hands on

No egos here. Just a shared drive to roll up our sleeves and make great things happen. Every project--big or small, gets our full energy because we believe in doing things right. Every single time. It's how we deliver real results without cutting corners.

Honesty

We are real and authentic – with each other and in our work. Honest, direct communication builds the trust we need to collaborate, grow, and make meaningful things together. It’s not always easy but it’s always worth it.

Heart & Soul

We bring heart to everything we make. Passion, pride and relentless drive push us beyond “good enough” ––because we care deeply about our craft, and we’re always chasing better. We love what we do, and it shows.

Happy Family

Creating a space where everyone feels valued--even when opinions differ, makes this a supportive and inclusive environment for our people. We embrace our differences, celebrate our wins together, and never lose our sense of humor.

Hungry

Curiosity keeps us hungry. We question, experiment, and always seek out what's next. We never settle, and we never stop learning.

Inclusion and Impact

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Please contact careers@hogarth.com if you need the job advert or form in another format.

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