Role: Data Engineer
Experience: 4 to 12 Years
Location: PAN India
Must Have Skills
Solid experience in Python, SQL, and Spark
Hands-on experience with ETL/ELT pipeline development
Expertise in Data Modeling, Data Warehousing, and Data Lakes
Experience with Cloud Platforms (AWS/Azure/GCP)
Proficiency in Databricks, Hadoop, or Snowflake
Strong knowledge of Apache Spark, Kafka, Airflow, or similar data tools
Experience in building scalable and high-performance data pipelines
Good understanding of CI/CD, Git, and Agile methodologies
Responsibilities
Design, develop, and maintain scalable data pipelines.
Build and optimize data ingestion, transformation, and processing frameworks.
Develop data solutions for analytics, reporting,



and machine learning use cases.
Ensure data quality, governance, security, and performance optimization.
Collaborate with cross-functional teams to deliver end-to-end data solutions.
Preferred
Cloud certifications (AWS/Azure/GCP)
Experience with real-time data processing and streaming technologies
Strong communication and stakeholder management skills
Mandatory Education: 15 Years Full-Time Education.
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