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Data Engineer with Micorosft Fabric

Roles & Responsibilities

  • Proficiency in Python or Java, Spark, Airflow, and Databricks for data pipelines
  • Experience with ETL architecture and data warehouses such as Snowflake, S3, BigQuery, and Redshift
  • Knowledge of cloud data platforms and infrastructure-as-code (AWS, Azure)
  • Familiarity with data engineering concepts and building deployable, real-world projects

Requirements:

  • Build and optimize end-to-end data pipelines using Python/Java, Spark, Airflow, and Databricks
  • Design ETL architectures and manage data warehouses across Snowflake, S3, BigQuery, and Redshift
  • Implement infrastructure-as-code and deploy data solutions on cloud platforms (AWS, Azure)
  • Develop deployable projects and documentation to demonstrate business impact and readiness for data engineering roles

Job description


Launch Your Data Career with Proof, Not Promises—At SynergisticIT
If you're serious about starting a high-impact, high-paying career in Data Science, Analytics, or Engineering, it's time to stop guessing and start choosing results. At SynergisticIT, we don't just offer training—we offer outcomes.
Our candidates have landed jobs at top tech firms like Google, Apple, Client, Visa, PayPal, and countless startups and mid-sized tech teams. Whether you're transitioning from business, healthcare, teaching—or you're a self-taught coder or bootcamp grad—we help bridge that final gap between potential and placement.
See for yourself: Candidate Success Outcomes
Watch our live events and behind-the-scenes support:
SynergisticIT Career Journey Videos
Specializations That Match Market Demand
Data Science Track:
  • Python, Pandas, NumPy, Scikit-Learn
  • Machine Learning (supervised/unsupervised), TensorFlow, Deep Learning, NLP
  • Model deployment, A/B testing, business impact communication
Data Analytics Track:
  • SQL, Excel, Power BI, Tableau
  • Exploratory Data Analysis, visualization, statistical inference
  • Dashboard design, KPI reporting, automation
Data Engineering Track:
  • Python/Java, Spark, Airflow, Databricks
  • ETL architecture, Snowflake, S3, BigQuery, Redshift
  • Infrastructure-as-code and cloud data platforms (AWS, Azure)
Why Candidates Choose SynergisticIT (and Get Hired)
Career-First – Every tool, platform, and project is mapped to the current job market across fintech, healthtech, and SaaS companies.
Certification Support – Boost your résumé with IBM Data Science, AWS Data Analytics, Microsoft Power BI, and more—while building real-world, deployable projects that hiring managers love.
Mock Interviews + Mentorship – Work to refine your technical thinking, build interview confidence, and master both whiteboard and behavioral rounds.
Placement-Focused Guidance –We support you through applications, recruiter connections, tech screens, and salary negotiations—until you are hired
Who We Help
  • New graduates unsure how to translate education into employment
  • Career switchers with analytical backgrounds ready to enter tech
  • Bootcamp and certificate holders seeking structure and hiring results
  • International candidates on OPT/STEM needing placement and visa security
  • Anyone tired of applying with no results—and ready to change that
Data roles are exploding—but only if you're ready to deliver real value.
Let us help you prove it.
Click here to explore real candidate outcomes
Watch what it really takes to get hired
We place.
Let's turn your knowledge into your next offer.

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