Senior Data Engineer (Hybrid)
Job Type - Permanent
Work Mode - Domlur Bangalore (4 days from office & 1 day WFH)
Budget - 20LPA - 21LPA
Experience- 5 Years
Skillset Required
5 years of experience in software development with a strong foundation in distributed
systems
cloud-native architectures and data platforms.
Experience with various stages of software development including design development
testing and deployment.
Strong programming skills in Python Java C SQL etc.
Deep expertise with cloud platforms like AWS Azure or GCP.
Hands-on experience with Databricks Snowflake AWS RDS Azure SQL or GCP Cloud SQL
Apache Spark and Apache Airflow.
Strong understanding of Lakehouse architecture Data Mesh principles data governance
frameworks and modern data pipelines.
Proven ability to deliver high-impact API-first services at scale.
Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud
infrastructure programmatically ensuring consistency and enabling automation.
Strong problem-solving and analytical thinking skills.
Experience in guiding and supporting junior engineers.
Excellent communication and collaboration skills.
Required Skills:
AZURE SQLAZURECJAVAAPACHE AIRFLOWPYTHONAPACHE SPARKAWS
Senior Data Engineer (Hybrid)Job Type - PermanentWork Mode - Domlur Bangalore (4 days from office & 1 day WFH)Budget - 20LPA - 21LPAExperience- 5 YearsSkillset Required 5 years of experience in software development with a strong foundation in distributedsystemscloud-native architectures and data pla...
Senior Data Engineer (Hybrid)
Job Type - Permanent
Work Mode - Domlur Bangalore (4 days from office & 1 day WFH)
Budget - 20LPA - 21LPA
Experience- 5 Years
Skillset Required
5 years of experience in software development with a strong foundation in distributed
systems
cloud-native architectures and data platforms.
Experience with various stages of software development including design development
testing and deployment.
Strong programming skills in Python Java C SQL etc.
Deep expertise with cloud platforms like AWS Azure or GCP.
Hands-on experience with Databricks Snowflake AWS RDS Azure SQL or GCP Cloud SQL
Apache Spark and Apache Airflow.
Strong understanding of Lakehouse architecture Data Mesh principles data governance
frameworks and modern data pipelines.
Proven ability to deliver high-impact API-first services at scale.
Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud
infrastructure programmatically ensuring consistency and enabling automation.
Strong problem-solving and analytical thinking skills.
Experience in guiding and supporting junior engineers.
Excellent communication and collaboration skills.
Required Skills:
AZURE SQLAZURECJAVAAPACHE AIRFLOWPYTHONAPACHE SPARKAWS
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