Content Writer

Job Title: Software Development Intern

Company: KGIST Microcollege (MGC)

Location: [Insert Location]

Job Type: Internship

Job Description:

- Assist in developing software applications using various programming languages

- Collaborate with the development team to design, develop, and test software solutions

- Develop knowledge and skills in software development practices and procedures

Responsibilities:

- Develop software applications using JavaScript, Java, HTML, Python, and C++

- Assist in debugging and troubleshooting code

- Participate in code reviews and contribute to improving code quality

- Collaborate with the team to meet project deadlines and goals

Requirements:

- Currently pursuing a degree in Computer Science or a related field

- Strong knowledge of programming languages, including:

  - JavaScript

  - Java

  - HTML

  - Python

  - C++

- Female candidates only

- Strong problem-solving skills and attention to detail

- Ability to work in a team environment

What We Offer:

- Opportunity to gain hands-on experience in software development

- Collaborative and dynamic work environment

- Flexible work hours and remote work options (if applicable)

- Chance to develop skills and knowledge in software development practices

You will be responsible for designing, building, and maintaining data pipelines that handle Real-world data at Compile. You will be handling both inbound and outbound data deliveries at Compile for datasets including Claims, Remittances, EHR, SDOH, etc.

You will

• Work on building and maintaining data pipelines (specifically RWD).
• Build, enhance and maintain existing pipelines in pyspark, python and help build analytical insights and datasets.
• Scheduling and maintaining pipeline jobs for RWD.
• Develop, test, and implement data solutions based on the design.
• Design and implement quality checks on existing and new data pipelines.
• Ensure adherence to security and compliance that is required for the products.
• Maintain relationships with various data vendors and track changes and issues across vendors and deliveries.

You have

• Hands-on experience with ETL process (min of 5 years).
• Excellent communication skills and ability to work with multiple vendors.
• High proficiency with Spark, SQL.
• Proficiency in Data modeling, validation, quality check, and data engineering concepts.
• Experience in working with big-data processing technologies using - databricks, dbt, S3, Delta lake, Deequ, Griffin, Snowflake, BigQuery.
• Familiarity with version control technologies, and CI/CD systems.
• Understanding of scheduling tools like Airflow/Prefect.
• Min of 3 years of experience managing data warehouses.
• Familiarity with healthcare datasets is a plus.

Compile embraces diversity and equal opportunity in a serious way. We are committed to building a team of people from many backgrounds, perspectives, and skills. We know the more inclusive we are, the better our work will be.         

CoreStack, an AI-powered multi-cloud governance solution, empowers enterprises to rapidly achieve Continuous and Autonomous Cloud Governance at Scale. CoreStack enables enterprises to realize outcomes such as 40% decrease in cloud costs and 50% increase in operational efficiencies by governing operations, security, cost, access, and resources. CoreStack also assures 100% compliance with standards such as ISO, FedRAMP, NIST, HIPAA, PCI-DSS, AWS CIS & Well Architected Framework (WAF). We work with many large global customers across multiple industries including Financial Services, Healthcare, Retail, Education, Telecommunications, Technology and Government.

CoreStack closed a $8.5 million Series A financing recently. CoreStack was recognized as IDC Innovator in Cloud Management Solutions and in the Gartner Magic quadrant for Cloud Management Platforms in 2020. Earlier in 2019, Gartner named CoreStack as a Cool Vendor in Cloud Computing. CoreStack is a Microsoft Azure Gold & Co-Sell Partner and Amazon AWS Advanced Technology Partner.

CoreStack Offers

• Competitive salary
• Competitive benefit package with appreciable equity
• Exciting, fast-paced and entrepreneurial culture
• Health insurance and other company benefits

Minimum 4 to 14 Years OTM Technical / Functional experience

• Must have functional and techno-functional experience in OTM implementation and/or have supported projects dealing with these systems, and/or have worked on OTM Cloud
• Must have strong technical and functional knowledge of the latest OTM Application
• Must have knowledge of preparing mapping document to interface OTM system with EDI, WMS, order management and finance systems, and be able to translate the functional specifications into design specifications for the Offshore Delivery Centre
• Must have ability to write SQL statements for automation agents and other technical topics
• Hands on experience on JSPX/XSL will be additional advantage.
• Experience in end-to-end OTM life cycle/implementations/up-gradation and OTM architecture will be preferred

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
  ▪ Distributed Cloud Native Computing including Server less Functions
  ▪ Relational, Object Store, Document, Graph, etc. Database Design & Implementation
  ▪ Micro services Architecture, API Modeling, Design, & Programming

• 3+ years of hands-on development experience in Apache Spark using Scala and/or Java.

• Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.

• In-depth knowledge of standard programming languages such as Scala and/or Java.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.

• 3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.

• Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.

• Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.

• Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.

• Perform benchmarking/stress tests and document the best practices for different applications.

• Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.

• Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

  Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.

• Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

• Good understanding of Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment.