data engineer- group manager Job Vacancy in Randstad Bengaluru, Karnataka – Updated today
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Company Name : Randstad
Location : Bengaluru, Karnataka
Position :
Job Description : summary
randstad india
permanent
specialism
information technology
reference number
JPC – 65754
job details
Job Title – Group Manager – Analytics and Data Engineering
Job Summary
Be a part of the offshore team supporting the analytics team of a global retailer. Develop an
understanding of the client’s business environment and support them in the execution of their data
and analytics strategies for loyalty, campaign management, product portfolio analysis and any other …
dimensions for which there is a need from a technology perspective. In this role you will be
responsible for the delivery of solutions on top of the AWS platform and play a key role as a key
technology pivot
Job Responsibilities
Work with the delivery team and business partners to understand requirements, complete
solution design (data engineering, data warehousing and BI solutions), development and
ultimate delivery to the end consumers in an agile manner
Work as a fulcrum with other technology teams to extract, transform, and load data from a
wide variety of data sources (example: excel, csv, parquet, avro, json etc.) using SQL
(Redshift, Oracle) and ability to use a major programming (e.g. Java/C) and/or a scripting
language (Python) to process data for modelling
Communicate and document solutions and design decisions
Perform integration of multiple data source-formats into master data load
Design and Deploy code (ETL – AWS Glue, EMR & ELK) and machine images on AWS platform
to create and improve our existing data tools
Clear knack towards future-proof automation at scale and technology eco-system to
continuous integrate evolving user and business needed (as well as new data pipelines)
Qualifications and Must Have Skills
MS/BS degree in a computer science field or related discipline
Robust general programming skills
Data Warehousing and ETL development
Experience with AWS solutions such as EC2, S3, Lambda, EMR, Elastic Search, Glue, ELK,
Sagemaker, Athena and Redshift & DynamoDB.
At least one End-2-end production deployment experience
Knowledge of scripting for automation (Python/ spark/SQL)
Experience with engineering in the Cloud – on AWS
Experience processing massive structured , unstructured & streaming data sets
Proficient in the Linux CLI
Experience with Open source libraries and tools such as Spring, Maven, Eclipse, IntelliJ
Strong analytical and problem-solving skills Good to Have Skills Knowledge of Hadoop ecosystem or distributed database architecture
Knowledge of No-SQL DB like Elastic Search,Cassandra, Hbase, MongoDB etc
Working knowledge of other cloud platforms like Azure, Google Cloud etc
Working knowledge on product development, ML/AI solutions in big data environment
Experience in business stake holder management and consultingExperience
8 + years in designing,developing scalable , reliable data intensive applications
Qualifications
BE
MS/BS degree in a computer science field or related discipline
Additional information
The role involves cloud data solutions/ applications development. Exposure to work in analytics
practices will be an added advantage.
show lessshow more
Job Title – Group Manager – Analytics and Data Engineering
Job Summary
Be a part of the offshore team supporting the analytics team of a global retailer. Develop an
understanding of the client’s business environment and support them in the execution of their data
and analytics strategies for loyalty, campaign management, product portfolio analysis and any other
dimensions for which there is a need from a technology perspective. In this role you will be
responsible for the delivery of solutions on top of the AWS platform and play a key role as a key
technology pivot
Job Responsibilities
Work with the delivery team and business partners to understand requirements, complete
solution design (data engineering, data warehousing and BI solutions), development and
ultimate delivery to the end consumers in an agile manner
Work as a fulcrum with other technology teams to extract, transform, and load data from a
wide variety of data sources (example: excel, csv, parquet, avro, json etc.) using SQL
(Redshift, Oracle) and ability to use a major programming (e.g. Java/C) and/or a scripting
language (Python) to process data for modelling …
Communicate and document solutions and design decisions
Perform integration of multiple data source-formats into master data load
Design and Deploy code (ETL – AWS Glue, EMR & ELK) and machine images on AWS platform
to create and improve our existing data tools
Clear knack towards future-proof automation at scale and technology eco-system to
continuous integrate evolving user and business needed (as well as new data pipelines)
Qualifications and Must Have Skills
MS/BS degree in a computer science field or related discipline
Robust general programming skills
Data Warehousing and ETL development
Experience with AWS solutions such as EC2, S3, Lambda, EMR, Elastic Search, Glue, ELK,
Sagemaker, Athena and Redshift & DynamoDB.
At least one End-2-end production deployment experience
Knowledge of scripting for automation (Python/ spark/SQL)
Experience with engineering in the Cloud – on AWS
Experience processing massive structured , unstructured & streaming data sets
Proficient in the Linux CLI
Experience with Open source libraries and tools such as Spring, Maven, Eclipse, IntelliJ
Strong analytical and problem-solving skills Good to Have Skills Knowledge of Hadoop ecosystem or distributed database architecture
Knowledge of No-SQL DB like Elastic Search,Cassandra, Hbase, MongoDB etc
Working knowledge of other cloud platforms like Azure, Google Cloud etc
Working knowledge on product development, ML/AI solutions in big data environment
Experience in business stake holder management and consultingExperience
8 + years in designing,developing scalable , reliable data intensive applications
Qualifications
BE
MS/BS degree in a computer science field or related discipline
Additional information
The role involves cloud data solutions/ applications development. Exposure to work in analytics
practices will be an added advantage.
show lessshow more
experience
12
skills
Python
AWS
ETL Development
qualifications
Any
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