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gianteagle

Engineer Sr., Software

Cuddalore · Senior

Good timing - competition is buildingVerified listingPosted 4d ago

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86Overall
64Skills
97Experience

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What we know about this role

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Skills required

10 listed
Azure Data FactoryPL/SQLEnterprise MarketingAccess ControlsDatabricksPysparkSQL (Programming Language)Application Programming Interface (API)+2 more
Azure Data FactoryPL/SQLEnterprise MarketingAccess ControlsDatabricks

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Job description

Job Summary

The Software Engineer Team Member is part of the Marketing Technology Team; under general direction, they will design, develop, and implement systems to ensure customer requirements are met in a timely and cost-effective manner. The role is responsible for enterprise Marketing Technology. Key development responsibilities include the development of internal systems, management & integration of third-party software systems, and systems support.

Job Description

Experience Required: 5 to 10 years
Experience Desired: Experience working in Data Engineering + retail supply chain environment
Education Desired: Bachelors Degree

Job Responsibilities


  • Design, build, and maintain scalable batch and streaming data pipelines on Databricks using PySpark, Spark SQL, and Delta Lake.·      
  • Develop ingestion frameworks to bring data from databases, APIs, files, and third-party marketing platforms into the Lakehouse.·      
  • Build and maintain curated data models using the medallion (bronze/silver/gold) architecture for analytics, reporting, and marketing use cases.·      
  • Implement data governance, security, and access control using Unity Catalog.·      
  • Build data quality checks, validation, and monitoring to ensure the accuracy, completeness, and reliability of data.·      
  • Orchestrate and schedule pipelines using Databricks Workflows/Jobs and Azure Data Factory where applicable.·      
  • Optimize Spark jobs, cluster configurations, and Delta tables (partitioning, Z-ordering, file compaction) for performance and cost.·       Support the migration and modernization of legacy Oracle-based ETL and PL/SQL processes to Databricks.·      
  • Collaborate with data analysts, data scientists, business stakeholders, and application teams to deliver data solutions.·      
  • Troubleshoot and resolve pipeline failures, data issues, and performance bottlenecks.

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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