Senior Data Engineer

4 days ago

ChennaiGurgaonGurugramDelhi NCRHyderabad, India Eucloid Data Solutions Pvt Ltd Full time
About Eucloid Data Solutions

Eucloid Data Solutions is a fast-growing AI-consulting firm that enables business growth for its clients through advanced Data Analytics, Machine Learning and Data engineering. We offer bespoke, full stack and data-driven approach to solve highly complex and large-scale business problems for some of the biggest Fortune 500 organizations.

Job Description

We are looking for a senior Data Engineer with hands-on expertise in Databricks to join our Data Platform team. The ideal candidate will support development of data infrastructure on Databricks for our clients by participating in activities such as technology selection, designing and building of different components.

The candidate will also involve in projects like integrating data from various sources, managing big data pipelines that are easily accessible with optimized performance of the overall ecosystem. The ideal candidate is an experienced data wrangler who will support our software developers, database architects and data analysts on business initiatives.

Key Responsibilities:

  1. Design, implementation, and improvement of processes & automation of Data infrastructure
  2. Tuning of Data pipelines for reliability & performance
  3. Building tools and scripts to develop, monitor, troubleshoot ETL's
  4. Perform scalability, latency, and availability tests on a regular basis
  5. Perform code reviews and QA data imported by various processes
  6. Investigate, analyze, correct and document reported data defects

Requirements:

  • B.Tech/BS degree in Computer Science, Computer Engineering, Statistics, or other Engineering disciplines
  • Min. 3 years of Professional work Experience, with 1+ years of hands-on experience with Databricks
  • Highly proficient in SQL & Data model (conceptual and logical) concepts
  • Proficiency with Python & Spark (1+ year)
  • Knowledge of Distributed computing and cloud databases like Redshift, Big query etc.
  • 1+ years of Hands-on experience with one of the top cloud platforms - AWS/GCP/Azure
  • Experience with Modern Data stack tools like Airflow, Terraform, dbt, Glue, Dataproc etc.

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