Data Engineer bei Dentsuaegis

Qualifications: 

• Bachelor's degree in Engineering or related technical field with at least 3 years – L30 / 6 years – L35 / 9 years – L40 of hands-on experience as a Data Engineer, Data Architect or related roles 

• Experience working on Snowflake or Google Cloud Platform (GCP) especially services like BigQuery, Cloud Storage, Dataflow, Cloud Functions, and Pub/Sub 

  Job Title: Sr. Data Engineer – MS Fabric, PySpark & SQL

  Experience: 3–7 years

  Location: BLR, PUNE, MUM, CJB

  Type: Full-Time

  Responsibilities

• Build and maintain ETL pipelines using PySpark, SQL, and MS Fabric
• Develop data workflows to support Power BI dashboards
• Implement Medallion Architecture (Bronze, Silver, Gold layers)
• Work with marketing data sources and campaign analytics
• Process and integrate clickstream data for user behavior insights
• Ensure data quality, governance, and performance
• Skills Required

• Strong experience with PySpark, SQL, and MS Fabric
• Good understanding of Power BI and dashboard data modeling
• Knowledge of Medallion Architecture and data lakehouse principles
• Familiarity with marketing data and campaign metrics
• Basic understanding of clickstream data and web analytics
• Experience with cloud platforms (preferably Azure)
• Strong problem-solving and communication skills
• Collaborate with BI developers and business teams

• Proficiency in Talend for complex ETL workflows, Fivetran for automated data pipeline build with understanding of modern ELT patterns and real-time data streaming concepts 

• Advanced SQL skills including complex queries, stored procedures, etc.; Python with experience in data manipulation libraries and PySpark for large-scale data processing 

• Understanding of REST API, building and consuming APIs for data ingestion and knowledge of API authentication methods 

• Hands-on experience with Databricks for collaborative analytics or Notebooks of similar interactive development environments 

• Understanding of data governance, quality, and lineage concepts; data security and compliance requirements (GDPR, CCPA) and knowledge of data warehouse modeling techniques