Senior Data Engineer
# Senior Data Engineer **Sirrussoft Inc** · Hyderabad, Telangana · `On-site` 🕒 **Статус:** *Опубликовано: 4 дня назад* · *Источник: Indeed* --- ### About the Role Client : Uber Location : Hyd or Bengaluru (Hyrbid 3 days onsite) Duration : 6 Months + (Can go upto 2 years) (Looking for 5-8 years of experience range) Work hours : Option -1 : From 2 pm to 10 pm IST Option - 2 : Some of the folks start the day early at 9 am IST work half day and take afternoon off and restart from 6pm -10 pm). Location : Hyderabad (Location is Western Pearl, Hitech City Rd, Kothaguda, Hyderabad, Telangana 500084, India or Bengaluru (Location: RGA Techpark, Technology park in Chikkakannalli, India) ** Hybrid 2/3 days onsite. Role -1 Data Engineer Primary Responsibilities Ingest & clean messy customer support data From Bliss, Salesforce, Sprinklr, JIRA, etc. Fix fragmentation & missing metadata Understand why data doesn’t align across systems. Build reliable ETL/ELT pipelines Zero‑downtime, monitored, failure‑proof. Work with operations teams Push back when source logging is broken. Build business logic for downstream datasets Understand how CS operations work. Required Competencies Strong SQL + Python/PySpark Big data tools: Hadoop, Hive, Spark, Kafka (basic familiarity is enough). Comfort with messy, unstructured data Understanding of business operations (Customer Support) Ability to ask the right questions (“Why is this field missing?”, “Why does this dataset not align?”) Understanding of vector databases is nice to have. Soft Skills Curious, proactive, independent Comfortable with monotonous but critical data cleanup Strong problem‑solving mindset Business‑aware (understands how CS works) xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Role-2 - Senior Data Engineer – AI Semantic Layer (Pillar: AI Semantic & Metrics Foundation) This role builds the semantic layer — the business metric definitions + standardized logic that AI agents will rely on. Primary Responsibilities Build Client’s semantic layer: Standardize business metrics for CS operations. Define metric logic & business rules Deep understanding of CS workflows. Transform cleaned data into business‑ready datasets This is the “final output” layer. Partner with US-based leads Smaller team, high ownership. Required Competencies Deep understanding of data + business metrics Strong SQL + Python Experience with metric layers / semantic layers (even if not Uber’s) Ability to translate business logic into data logic Experience with big data tools (Spark, Presto, Pinot, Hudi, Kafka) Past experience with Data Models and Semantic layer used by AI. Experience with Vector databases is nice to have. Soft Skills Business thinker Can challenge complexity (“This metric definition won’t scale”) Can work in ambiguity Can design data models that AI agents will use Pay: ₹508,966.41 - ₹1,870,159.69 per year Work Location: Hybrid remote in Hyderabad, Telangana
Наблюдалась 2026-09-21, впервые 2026-09-17, источник — Indeed.