Overview:
- 3+ years of experience in Data and BI software development.
- In Depth Knowledge in Datawarehouse.
- Hands-on Knowledge and experience in most of the AWS Cloud migration services.
- Strong knowledge of SQL and databases architecture. Expertise in Amazon Redshift database is desired.
- Strong in Spark and python.
- Self-starter and a collaborator having the ability to independently acquire the knowledge required in succeeding the project.
- Growth mindset. A desire to learn from others and make yourself better every day.
- Proficiency in Design & Code Reviews.
- Experience with agile development methodologies.
- Proficient in ETL and data warehouse/lake house.
- Strong computational skills.
- Preferable to code fluently in Real Time Data Analytics in AWS platform.
Responsibilities:
- Basic experience working with Amazon EMR & Spark
- Prior experience in implementing large scale data lake preferably with amazon or google data processing technologies.
- Experience in ETL, data warehousing, data mining, and data modelling, reporting and analytical tools.
- Knowledge and experience in most of the following AWS services: EC2, Lambda, SQS, Kinesis, S3, CloudFormation, CLI, CloudWatch
- Experience working with column-based databases like Redshift.
- Experience in building real-time ETL processes.
- Have python and spark knowledge.
- DevOps experience: Linux, Jenkins, Docker, Kubernete
- Basic experience working with Amazon EMR & Spark
- Prior experience in implementing large scale data lake preferably with amazon or google data processing technologies.
- Experience in ETL, data warehousing, data mining, and data modelling, reporting and analytical tools.
- Knowledge and experience in most of the following AWS services: EC2, Lambda, SQS, Kinesis, S3, CloudFormation, CLI, CloudWatch
- Experience working with column-based databases like Redshift.
- Experience in building real-time ETL processes.
- Have python and spark knowledge.
- DevOps experience: Linux, Jenkins, Docker, Kubernetes
- 2 years of experience in Data and BI software development and working with Data processing.
- In Depth Knowledge in Datawarehouse.
- Hands-on Knowledge and experience in most of the AWS Cloud migration services.
- Strong knowledge of SQL and databases architecture. Expertise in Amazon Redshift database is desired.
- Should be an individual contributor as well as handling a team. Expertise in below mentioned domain.
- Strong fundamentals in Computer Science - programming, algorithms, data structures, sql querying
- Strong understanding of Data landscape (ETL, Data processing, Data Storage, Reporting)
- Excellent SQL/Data Analysis Skills
- 1-2 years’ experience with AWS cloud platforms and strong hands-on in Redshift.
- Creating Data Mapping documents between Source to target and also documenting business rules on transformations is mandatory
- Should have worked in traditional ETL tool and processes
- Should have experience in RDBMS and very strong in SQL.
- Should have basic experience in programming/scripting language (Python/JAVA/C++)
- Basics of Data Modelling and Data Architecture
- Triage Data Issues and do RCA
- Data Testing - Unit Testing, Functional Testing and end to end Data Validation
- Expertise in Performance Optimization
- Working experience in Cloud would be a plus
- Working knowledge of Snowflakes will have advantage.
- Reporting tool like Power BI/ Tableau understand is required.
- Experience in Kinesis & Lambda is advantageous.
Qualifications:
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