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Matrix Global Services

Senior Data Engineer

Posted 4 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
The Senior Data Engineer will design and build scalable data platforms and pipelines, utilizing cloud technologies and leading data engineering practices. Responsibilities include maintaining ETL/ELT pipelines, collaborating with stakeholders, and ensuring data quality.
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Description

Matrix Global Services

About the Role

Matrix Global Services is expanding its offshore data engineering practice and is seeking a Senior Data Engineer with strong, hands-on technical expertise. This is a highly engineering-focused role for a self-driven professional who thrives in a fast-paced consulting environment, takes full ownership of deliverables, and communicates effectively with both technical teams and business stakeholders.

In this role, you will design, build, and operate scalable data platforms and pipelines for enterprise clients across multiple industries, leveraging modern cloud and lakehouse architectures including Databricks, Azure, and AWS.

Core Technical Skills

  • SQL & Python
  • Databricks (Spark / Delta Lake / Unity Catalog)
  • Apache Airflow
  • Azure & AWS Cloud Platforms
  • Data Modeling (Lakehouse / Medallion Architecture)
  • Strong Analytical & Critical Thinking

Key Responsibilities

  • Design, implement, and maintain robust ETL/ELT pipelines using Databricks and Apache Airflow
  • Develop and support data models across Bronze, Silver, and Gold medallion layers
  • Write efficient, maintainable SQL and Python code for data transformation and analytics
  • Build and manage scalable data workloads on Azure and/or AWS cloud environments
  • Collaborate closely with data architects, analysts, and client stakeholders to translate business needs into technical solutions
  • Monitor pipeline health, troubleshoot issues, and drive continuous improvements in performance and data quality
  • Produce clear documentation, including technical designs, data lineage, and operational runbooks
  • Operate with a high degree of autonomy — proactively identifying risks, blockers, and solutions without dependency

Required Qualifications

  • 4+ years of hands-on data engineering experience in a professional or consulting environment
  • Strong proficiency in SQL and Python for pipeline development and data transformation
  • Practical experience with Databricks, including Delta Lake, Spark, Unity Catalog, notebooks, and Jobs
  • Proven experience orchestrating workflows using Apache Airflow (DAG design, scheduling, monitoring, error handling)
  • Cloud experience with Azure (ADF, ADLS, Synapse) and/or AWS (Glue, S3, Redshift)
  • Strong data modeling capabilities (dimensional, relational, lakehouse patterns)
  • Demonstrated ability to work independently with minimal supervision in a remote, offshore setup
  • Clear written and verbal communication skills; comfortable participating in client-facing discussions
  • Excellent problem-solving and critical-thinking abilities, especially in ambiguous or evolving environments

Nice to Have (Bonus Skills)

  • Experience with systems architecture and data connectivity, including APIs, event streaming, and integration patterns
  • Power BI experience (semantic models, DAX, reporting, Direct Lake)
  • Front-end or data product UI experience using JavaScript, React, or similar frameworks

Why Matrix

  • Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest and most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Security, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide.
  • We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future.
  • Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit: www.matrix-ifs.com

Top Skills

Apache Airflow
AWS
Azure
Databricks
Python
SQL

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