Data Engineer Implementation Specialist

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Role Overview

Data Engineer (Core) Implementation Specialist

You will play a hands-on role across the data implementation lifecycle—right from ingestion and transformation to deployment and post-go-live support—ensuring high data quality, performance, and reliability across platforms.

Key Responsibilities

• Design, build, and implement

  data pipelines and ETL/ELT workflows

  .
• Work closely with business and technical stakeholders to implement

  data solutions aligned with requirements

  .
• Develop, optimize, and maintain

  data models and transformations

  .
• Integrate data from

  multiple source systems

  into centralized data platforms.
• Ensure

  data quality, reliability, scalability, and performance

  of pipelines.
• Support

  deployment, monitoring, troubleshooting, and issue resolution

  in production environments.
• Collaborate with

  analytics, application development, and DevOps teams

  to enable end-to-end data solutions.
• Document data implementations, configurations, and workflows.
  
• Provide

  post-go-live support

  , enhancements, and optimization as needed.

Required Skills & Experience

• 3–6 years of experience as a

  Data Engineer

  or

  Implementation Specialist

  .
• Strong hands-on expertise in

  SQL

  and

  data modeling

  concepts.
• Experience working with

  ETL/ELT tools or data processing frameworks

  .
• Working knowledge of

  Python

  and/or

  Apache Spark

  (preferred).
• Solid understanding of

  data warehousing concepts

  and dimensional modeling.
• Familiarity with

  cloud data platforms

  such as

  AWS, Azure, or GCP

  .
• Understanding of

  data integration, validation, and reconciliation

  techniques.

Nice to Have

• Experience with modern cloud data warehouses such as

  Snowflake, Redshift, or BigQuery

  .
• Exposure to

  workflow orchestration tools

  like

  Apache Airflow

  .
• Knowledge of

  CI/CD practices for data pipelines

  .
• Experience in

  customer-facing or implementation-focused roles

  .

Education

• Bachelor’s or Master’s degree in

  Computer Science, Engineering, Information Technology

  , or a related field.

Why Join Us

• Opportunity to work on

  real-world data implementations

  with measurable business impact.
• Hands-on exposure to

  modern data engineering tools and cloud platforms

  .
• Collaborative environment with analytics, engineering, and DevOps teams.
  
• Competitive compensation and strong growth opportunities in the data engineering domain.