Eucloid - Senior Data Engineer - Azure Databricks
6 months ago
Job Role : Sr. Data Engineer (Databricks)
About Eucloid :
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. Eucloid offers bespoke, full stackand datadriven approach to solve highly complex and large-scale business problems for some of the biggest Fortune500 organizations. Eucloid has presence across multiple continents & countries, most notably in US, India, Sweden & Indonesia.
Eucloid has deep partnerships with leading Data & Cloud vendors in the industry. These range from Marketing Cloud solutions (Adobe, Twilio, Google), Cloud Vendors (Amazon, Microsoft, Google), MachineLearning (H2O.ai, TensorFlow) and Data Products (Snowflake, Databricks, Confluent). Eucloid is also anearly adopter and a strong believer in Open-source platforms like DBT, Airflow & Superset.
We take immense pride in our team. We are comprised of high-performing, ambitious, diverse and highly accomplished individuals with educational backgrounds from Top-tier institutes such as IITs/NITs/BITS/DTU/IIMs, World-class Consulting, Analytics & Tech orgs such as Accenture, Musigma, KPMG, Sapient, EXL, Axtria, Noon.
About Co-founders :
Raghvendra Kushwah - Raghvendra is a veteran in Business consulting with 16+ years of experience in firms like Accenture Strategy and Cognizant Business Consulting. In his last role at Accenture, he was running an independent business for Accenture in India and lead a team for 30 consultants. He is B.Tech. (IIT Delhi), MBA (IIM Lucknow) and LLB (Faculty of Law, Delhi University).
Anuj Gupta - Anuj has led large, diverse Products & Engineering teams with leading tech companies like Adobe and Amazon for 20+ years. In his last role at Amazon, he led a team of 50+ Engineers & 10+ Product Managers for Amazon APAC geos. He is B.Tech. (IIT Delhi) and MBA (ISB Hyderabad).
Job Description :
Eucloid is looking for a senior Data Engineer with hands-on expertise in Databricks to join our Data Platform team supporting various business applications. The ideal candidate will support development of data infrastructure on Databricks for our clients by participating in activities which may include starting from upstream and down-stream technology selection to designing and building of different components.
Candidate will also involve in projects like integrating data from various sources, managing big data pipelines that are easily accessible with optimized performance of overall ecosystem. The ideal candidate is an experienced data wrangler who will support our software developers, database architects and data analysts on business initiatives. You must be self-directed and comfortable supporting the data needs of cross-functional teams, systems, and technical solutions
Location : Chennai
Qualifications :
- 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.
- Exposure to Hadoop & Shell scripting a plus
Responsibilities :
- Design, implementation, and improvement of processes & automation of Data infrastructure
- Tuning of Data pipelines for reliability & performance
- Building tools and scripts to develop, monitor, troubleshoot ETL's
- Perform scalability, latency, and availability tests on a regular basis
. - Perform code reviews and QA data imported by various processes.
- Investigate, analyze, correct and document reported data defects.
- Create and maintain technical specification documentation.
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