📢 𝗛𝗶𝗿𝗶𝗻𝗴: 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 – 𝗚𝗖𝗣 & 𝗣𝘆𝗦𝗽𝗮𝗿𝗸 (𝗜𝗰𝗲𝗯𝗲𝗿𝗴/𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆) || 𝗳𝗼𝗿 𝗶𝗺𝗺𝗲𝗱𝗶𝗮𝘁𝗲 𝗷𝗼𝗶𝗻𝗲𝗿𝘀 || 𝗡𝗢𝗜𝗗𝗔 || 𝟰-𝟳 𝘆𝗲𝗮𝗿𝘀 📍 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Noida (In-office/Hybrid; client site if required) 🕒 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: 4–7 years 📄 𝗧𝘆𝗽𝗲: Full-Time | Immediate Joiners Preferred 𝗖𝗹𝗶𝗲𝗻𝘁: Leading Canadian-based Tech Company ✅ 𝗠𝘂𝘀𝘁-𝗛𝗮𝘃𝗲 𝗦𝗸𝗶𝗹𝗹𝘀: •𝘎𝘊𝘗 (BigQuery, Dataflow, Dataproc, Cloud Storage) •𝘗𝘺𝘚𝘱𝘢𝘳𝘬/ 𝘚𝘱𝘢𝘳𝘬 – Distributed computing expertise •𝘈𝘱𝘢𝘤𝘩𝘦 𝘐𝘤𝘦𝘣𝘦𝘳𝘨 (preferred), Hudi, or Delta Lake 🔧 𝗥𝗼𝗹𝗲 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄: Be part of a high-impact Data Engineering team focused on building scalable, cloud-native data pipelines. You'll support and enhance EMR platforms using DevOps principles, helping deliver real-time health alerts and diagnostics for platform performance. 🛠️ 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: •Provide data engineering support to EMR platforms •Design and implement cloud-native, automated data solutions •Collaborate with internal teams to deliver scalable systems •Continuously improve infrastructure reliability and observability 💡 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁: •Databases: Oracle, MySQL, MSSQL, MongoDB •Distributed Engines: Spark/PySpark, Presto, Flink/Beam •Cloud & Infra: GCP (preferred), AWS (nice-to-have), Terraform •Big Data Formats: Iceberg, Hudi, Delta •Tools: SQL, Data Modeling, Palantir Foundry, Jenkins, Confluence •Bonus: Stats/math tools (NumPy, PyMC3), Linux scripting 🔍 𝗜𝗱𝗲𝗮𝗹 𝗳𝗼𝗿 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝘄𝗶𝘁𝗵 𝗰𝗹𝗼𝘂𝗱-𝗻𝗮𝘁𝗶𝘃𝗲, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗱𝗮𝘁𝗮 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 — 𝗲𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗹𝘆 𝘁𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝗵𝗮𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵 𝗘𝗠𝗥 𝗮𝗻𝗱 𝗺𝗼𝗱𝗲𝗿𝗻 𝗹𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲 𝘀𝘁𝗮𝗰𝗸𝘀. ➡ 𝗖𝗹𝗶𝗰𝗸 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗮𝗽𝗽𝗹𝘆: https://in.indeed.com/viewjob?jk=8f5608c3f353ca26&from=shareddesktop_copy