Job Description

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:
B.E or B.Tech in Computer Science or Information Technology. A good academic background