Software Engineer II

3 years

8 - 10 Lacs

Posted:8 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

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

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