Data Engineer

About Soul AI Pods

Deccan AI

Soul AI Pods

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eResponsibilitie

• sDesign, build, and maintain

  ETL/ELT pipeline

  s using tools like

  Airflo

  w,

  DB

  T, or

  Spar

• kDevelop and optimize

  data lake

  s,

  data warehouse

  s, and

  streaming pipeline

• sEnsure

  data quality, reliability, and lineag

  e across sources and pipeline
• sIntegrate structured and unstructured data from internal and third-party API
• sCollaborate with ML teams to deliver production-ready

  feature pipeline

  s,

  labeling dat

  a, and

  dataset versionin

• gImplement

  data governanc

  e, security, and access control policie

sRequired Skill

• s
  Strong SQL skills including analytical queries, CTEs, window functions, and query optimizati
• onProficient in Python for data manipulation and scripting using libraries like Pandas and Num
• PyExperience with ETL orchestration tools such as Airflow, Prefect, or Lui
• giHands-on with batch and streaming data processing using Spark, Kafka, or Fli
• nkFamiliarity with data lakes and warehouses (S3, BigQuery, Redshift, Snowflake) and schema desi
• gnBonus: experience with DBT, data validation, MLOps integration, or compliance-aware data workflo

wsApplication & Other Deta

1. ilsTo apply, fill the Soul AI Pods Interest F
2. ormYou will be invited for selection process → R1: Test, R2: AI Interview, R3: 1:1 Interv
3. iewWe are hiring for full-time or long Contract (40 hrs/week) hybrid ro
4. lesWe are hiring across different seniority lev
5. elsYou will work on a key client project (Top-tier tech consulting fi