Senior Data Engineer: End-to-End Data Pipelines

EXL

Webster (MA)

On-site

USD 90,000 - 130,000

Full time

41 hours ago
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Job summary

EXL is seeking a data-focused professional to interface with business stakeholders and lead the discovery of the current reporting and data landscape. You will translate requirements into a target pipeline design, develop end-to-end data pipelines in Python and SQL, and implement data quality, validation, and governance standards.

You will own UAT for new data assets, create rollout materials, and train analysts.

Qualifications

  • Experience building end-to-end data pipelines using Python and SQL.
  • Strong focus on data quality, validation, and reconciliation.
  • Ability to work in an Agile environment with stakeholders.

Responsibilities

  • Interface with business stakeholders to understand analytics needs and requirements.
  • Lead discovery of current reporting and data landscape, inventory sources and metrics.
  • Translate requirements into target pipeline design with data flow diagrams.
  • Develop and maintain end-to-end data pipelines using Python and SQL (ETL/ELT).
  • Build reusable Python libraries and parameterized pipelines for consistency.
  • Define metric logic, lineage, validation tests, and governance documentation.
  • Own UAT for new/changed data assets and provide pass/fail recommendations.
  • Prepare rollout materials, runbooks, and training for analysts and users.
  • Collaborate in Agile ceremonies and document design, code, and testing.
  • Implement straight-through data product designs with data security measures.

Skills

Python
SQL
ETL/ELT
Data quality
Data governance
Agile

Tools

None

Job description

EXL is seeking a data-focused professional to interface with business stakeholders and lead the discovery of the current reporting and data landscape. You will translate requirements into a target pipeline design, develop end-to-end data pipelines in Python and SQL, and implement data quality, validation, and governance standards.

You will own UAT for new data assets, create rollout materials, and train analysts.

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