Job Location: Bangalore/Bengaluru
Roles and Responsibilities
Hi,
Greetings From Futures and Careers..!!
Opening forSenior Data Engineerposition forBangalore based MNC
Pls find the details Below..
Total Exp: 5 years to 8 years
Total Exp: 5 years to 8 years
Location: Bangalore
Designation : Senior Data Engineer
Job Description
Responsibilities:
Leveraging your deep knowledge to provide technical leadership to take projects from zero to completion.
Architect, build and maintain scalable data pipelines and access patterns related to permissions and security.
Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data
processing
Drive a culture of collaborative reviews of designs, code and test plans
Work with the architecture engineering team to ensure quality solutions are implemented and engineering
best practices adhered to
Develop set process for Data mining, Data modeling, and Data production
Basic requirements:
A data engineer with strong programming experience in Python
Extensive experience related to processing frameworks such as Spark, Spark Streaming, Airflow, Hive, Sqoop,
Kafka etc.
Experience with big data processing within cloud environments such AWS S3.
Passion for Data Privacy and Security, Data Management.
Experience building and shipping data production pipelines sourcing data from a diverse array of sources.
Deep understanding of measuring and ensuring data quality at scale and the required tooling to monitor and
optimize the performance of our data pipelines
Ability to influence and communicate effectively with team members and business stakeholders.
Responsibilities:
Leveraging your deep knowledge to provide technical leadership to take projects from zero to completion.
Architect, build and maintain scalable data pipelines and access patterns related to permissions and security.
Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data
processing
Drive a culture of collaborative reviews of designs, code and test plans
Work with the architecture engineering team to ensure quality solutions are implemented and engineering
best practices adhered to
Develop set process for Data mining, Data modeling, and Data production
Basic requirements:
A data engineer with strong programming experience in Python
Extensive experience related to processing frameworks such as Spark, Spark Streaming, Airflow, Hive, Sqoop,
Kafka etc.
Experience with big data processing within cloud environments such AWS S3.
Passion for Data Privacy and Security, Data Management.
Experience building and shipping data production pipelines sourcing data from a diverse array of sources.
Deep understanding of measuring and ensuring data quality at scale and the required tooling to monitor and
optimize the performance of our data pipelines
Ability to influence and communicate effectively with team members and business stakeholders.
Nice to have:
Knowledge of the retail and eCommerce sector and its use cases.
Knowledge of the retail and eCommerce sector and its use cases.
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