Data Engineer

Posted 8 Hours Ago
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Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
In-Office
Senior level
Software • Consulting
The Role
Design, build, and maintain scalable ETL/ELT data pipelines and data lake/warehouse solutions using Snowflake or Databricks on Azure. Implement ingestion, transformation, data quality checks, monitoring, and performance optimization. Collaborate with Analytics, Data Science, Product, and Engineering on architecture and data consumption; contribute to governance and CI/CD practices.
Summary Generated by Built In

About the Role

We are looking for a Senior Data Engineer with strong experience in modern data platforms and cloud-based architectures. The ideal candidate has deep hands-on experience with Snowflake or Databricks, has built scalable data pipelines, and is proficient in Azure cloud services.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
  • Develop and optimize data lake and data warehouse solutions using Snowflake and/or Databricks.
  • Implement data ingestion, transformation, and processing frameworks for structured and unstructured datasets.
  • Work closely with cross-functional teams (Data Analytics, Data Science, Product, Engineering) to support data consumption needs.
  • Build reusable and modular data pipeline components aligned with best practices.
  • Implement data quality validation, reconciliation, and monitoring controls.
  • Optimize performance for data storage, compute, and query execution.
  • Ensure adherence to data governance, security standards, and compliance requirements.
  • Participate in solution architecture discussions and contribute to technical design decisions.

Required Skills & Experience

  • 7–8+ years of hands-on experience as a Data Engineer.
  • Strong experience in Snowflake and/or Databricks (any one is fine, both preferred).
  • Hands-on experience on Azure Cloud (e.g., Azure Data Factory, ADLS, Azure Synapse, Azure Key Vault, Azure Functions, Azure DevOps).
  • Expertise in SQL and performance tuning for large datasets.
  • Experience developing ETL/ELT pipelines using modern data frameworks.
  • Proficiency with scripting languages such as Python or Scala.
  • Experience with data modeling techniques (star schema, normalized models, dimensional modeling).
  • Experience with CI/CD for data pipelines and version control (Git).
  • Exposure to data governance, metadata management, and data quality frameworks.

Skills Required

  • 7-8+ years of hands-on experience as a Data Engineer
  • Strong experience in Snowflake and/or Databricks
  • Hands-on experience on Azure Cloud (Azure Data Factory, ADLS, Azure Synapse, Azure Key Vault, Azure Functions, Azure DevOps)
  • Expertise in SQL and performance tuning for large datasets
  • Experience developing ETL/ELT pipelines using modern data frameworks
  • Proficiency with scripting languages such as Python or Scala
  • Experience with data modeling techniques (star schema, normalized models, dimensional modeling)
  • Experience with CI/CD for data pipelines and version control (Git)
  • Exposure to data governance, metadata management, and data quality frameworks

Encora Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.

  • Healthcare Strength Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
  • Leave & Time Off Breadth Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
  • Flexible Benefits Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.

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The Company
Chennai
7,456 Employees
Year Founded: 1980

What We Do

Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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