Lead Data Engineer/Data Engineer
Posted 137 weeks ago
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,fullstack and data-driven approach to solving highly complex and large-scale business problems for some of the biggest Fortune-500 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), Machine Learning (H2O.ai, Tensorflow) and Data Products (Snowflake, Databricks, Confluent). Eucloid is also an early 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, Product & Tech orgs such as Accenture/KPMG/Sapient/EXL/Axtria/Noon.
About Co-founders
Raghvendra Kushwah – Raghvendra is a veteran in Business consulting with 17+ years of experience in
firms like Accenture Strategy and Cognizant Business Consulting. In his last role at Accenture, he led an
independent business for Accenture in India and managed a large team for analytics consultants. He is B.Tech.
(IIT Delhi), MBA (IIM Lucknow) and LLB (Faculty of Law, Delhi University).
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Anuj Gupta – Anuj has led large, diverse Products & Engineering teams with leading tech companies like
Adobe and Amazon for 18+ 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
Job Description:
Eucloid is looking for a Data Engineer to join our Data Platform team supporting various business applications. The ideal candidate will support development of data infrastructure for our clients by participating in activities which may include starting from technology selection to designing and building of different components. Candidate will also involve in projects like integrating data from various resources, 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.
Qualifications
- Hands-On experience in AWS technologies (AWS S3, AWS EMR, Athena etc.), Redshift, Python
- Must have around 6-12 years of experience in delivering data engineering projects
- Have strong knowledge in ETL, Data warehousing, Business intelligence
- Should be able to configure pipelines to ingest data from landing zone to the data platform.
- Should be able to configure pipelines to ingest and process data from supplier landing zone to the data platform.
- Monitor and respond to scheduled workloads that feed data from and to the data platform.
- Communicate and work on schema drift and/or other Supplier issues.
- Create and execute quality scripts to monitor and maintain the accuracy of our data.
- HandsOn experience with Databricks or snowflake is a huge plus.
Preferred Skills
- Hands-on expertise in one or more Amazon Web Services (AWS) technologies, such as Kinesis, S3, Redshift, Athena, Lambda
- Experience with following aspect of data engineering
- Building and optimizing - big data- data pipelines, architectures and data sets.
- Manipulating, processing and extracting value from large, disconnected datasets
- Development of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.-
- Good experience with at least one ETL tool like Talend, Informatica etc.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Expertise in at least one of the NoSQL databases.
This person should be open to work in afternoon shifts (starting around 12 noon or 1 as we may need some overlap time with our US/Europe clients)
The role offers a very attractive compensation (Base + Bonus) and is based out of Gurgaon and Chennai.
Job Summary
Contact
118, AltF co-working space, Tower B, Suncity Success Tower, Golf Course Extension, Sector 65, Gurgaon.Gurgaon, Haryana Email: careers@eucloid.com