1-2 years of professional experience with Java development
Experience with different MVC frameworks like Spring
Exposure to front end development with JavaScript
Working understanding of HTML5 and CSS3
Strong experience with Web Services (REST, SOAP, etc.)
Desired Skills & Experience
Experience with Source Control like Git

Experience in software design and development, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Experience in object-oriented design methodology and large scale application development in Java (or any other object oriented language).
Excellent understanding of web technologies, distributed systems and service oriented architecture along with web services and related standards like REST/JSON.
Relational database and SQL development experience.
Experience on HTML 5, CSS 3.0, NodeJS is a plus.
Experience with big data solutions such as Hadoop, Hive, Kafka, Storm etc. is a plus.
Self-motivated and fast learner. Excellent communication, presentation, interpersonal and analytical skills.

Experience in software design and development, solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
Experience in object-oriented design methodology and large scale application development in Java (or any other object oriented language).
Excellent understanding of web technologies, distributed systems and service oriented architecture along with web services and related standards like REST/JSON.
Relational database and SQL development experience.
Experience on HTML 5, CSS 3.0, NodeJS is a plus.
Experience with big data solutions such as Hadoop, Hive, Kafka, Storm etc. is a plus.
Self-motivated and fast learner. Excellent communication, presentation, interpersonal and analytical skills.

Participate in the full application life cycle - design, development, testing, and deployment Interact with customers, project teams, and other stakeholders to ensure customer success Design, develop and integrate Salesforce apps and components with back-office systems using modern web tools and technologies Work with technical teams and architects to finalize architectural specifications - and create solution and integration designs Develop proofs of concept as needed during the design and requirements phase to evaluate products and integration strategies Validate application code using unit tests, security tests, and profiling tools Assist in identifying, troubleshooting, and resolving defects encountered during various stages of project delivery, including during the deployment and implementation of the solution in production environments Produce project documentation, including functional and technical designs, and end-user guides Grow with Salesforce by learning and implementing our latest technologies Maintain standards and best practices and educate our team Mentor developers, while learning from others Review Salesforce Release Notes to have familiarity with new additions and enhancements Contribute to internal practice development initiatives (e.g. re-usable assets, hiring, etc.) to bring impact to Salesforce professional services Travel is infrequent, varying with consultant preference and client requirements

Bachelor’s degree in Computer Science or a related major Master's Degree or 2+ years of professional object-oriented development experience Proficiency with Apex, Java or C#; SOQL or SQL; and Lightning Web Components or web development is desirable Proficiency in HTML, CSS and JavaScript is desirable; work with JS frameworks is a bonus Experience with modern IDEs (VSCode, IntelliJ), version control (Git, SVN), Agile tools (JIRA) and DevOps is desirable Understanding of Agile, Scrum, or other iterative development methodologies Proficiency with data modeling Advocates for and adheres to the usage of defined Coding Standards

Strong people skills
Strong written and verbal communication skills
Strong presentation skills
Results-driven, resilient, tenacious, with a drive to succeed in a fast-paced environment
Ability to learn quickly and adapt to change
Positive attitude; ability to motivate others

Integrate data into s3 data lake and define schema (EL)
Own distributed data processing jobs from source systems (Glue)
Maintaining streaming data jobs (Lambda, Kinesis Firehose)
Implement systems tracking data quality and consistency (Great Expectations)
Experience

Experience with distributed computing framework (Spark, Glue)
Knowledge of streaming data framework (Kinesis Firehose, Kafka, Lambda)
Strong skills in scripting language (Python, Bash)
Master's degree or 1+ years of experience with workflow management tools (Airflow, Prefect, Dagster)
Proficient in at least one of the SQL languages (Redshift, PostgreSQL, DB2, dbt)
Comfortable working directly with data analytics to bridge business goals with data engineering
You are a self-starter that can work effectively in a fast-paced, ambiguous environment with changing priorities and minimally defined processes.

Working knowledge of developing using the Azure analytics components including Data Lake, Power BI, Data Factory, Azure Data Explorer, Azure Synapse, Data Warehouse, and Data Bricks.
General understanding of Agile and DevOps development methodology and concepts as applied to data driven analytics projects. Including CI/CD Coding, security testing best practice and standards.
Experience in DevOps in Azure cloud environments.
Experience with designing, building, and operating analytics solutions using Azure cloud and serverless technologies.
Data Management experience e.g. data profiling, large volume data handling.
Experience in automated data driven testing.
General knowledge of scripting Languages such as Python, Scala, or PowerShell (at least one of them).
General knowledge of database programming including relational (SQL, Maria) and nonrelational (NoSQL, MongoDB, Cassandra) databases.

Experience with security related data sets.
Object Oriented Programming knowledge is a plus.
General understanding of Machine Learning Models.

Create, build, and deploy new AWS solutions in support of data integration and data delivery
Collaborate with technical lead, product owners, architects, and other project team members to create and test robust, re-usable patterns
Understand, diagnose, and resolve technical and production incident issues
Monitor and validate deployments to confirm expected behavior
Collect and implement software application requirements defined by business users, architects

Master's degree or 2+ years experience in IT related role
Experience working in an Agile environment with business and technical teams
Good knowledge of technologies in Enterprise Architecture and Application Integration requirements.
Hands-on of Preferable Tech stack – AWS (IAM Management RedShift S3 Athena) Denodo
Experience in user Authentication Authorization Data Encryption Tokenization and Masking
Expertise in Python SQL RedShift and Oracle
Good Communication & Leadership skills

Master's Degree or 2+ years of professional experience
Knowledge of functional programming languages like GoLang, Scala, Erlang, Haskell, Clojure, or the ability to learn them quickly
Experience with distributed database, distributed computing and high frequency transactions is a big plus
Working familiarity with the entire software development lifecycle including version control, build process, testing, and code release
Experience with configuration automation tools (Puppet/Ansible/Chef/Salt)
Hands-on experience with Docker, Kubernetes.
Hands-on experience in Splunk, Sysdig, Elasticsearch, Prometheus, Grafana etc. is a big plus.
Experience with operating system internals, file systems, disk/storage and networking protocols
Effective verbal and written communication skills

An AWS DevOps engineer should be knowledgeable to proficient in several of the technologies below, and have demonstrated experience in one or more areas.
Experience writing infrastructure as code using one or more of the major tools such as Terraform, CloudFormation, or SAM
Experience creating CI/CD pipelines with tools such as CodePipeline, Gitlab CI/CD, Harness, ArgoCD, or Jenkins
Experience with containerization management tools and services such as Kubernetes, EKS, Kops, HELM, or ECS
Working knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs, GuardRails, and Transit Gateways
Wide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, DevOps, containers, serverless, CI/CD, management and monitoring, analytics, or machine learning
Working knowledge of key AWS services such as Lambda, API Gateway, S3, RDS, DynamoDB, CloudWatch, SNS, SQS, and Eventbridge
Some experience developing in one of the following languages java, python, Go, Node.JS or C#
You are a life-long learner, enjoy new challenges, and have a creator mindset

Master's Degree or 1+ years of experience designing, developing, testing and implementing scalable, high-performing data warehouse and BI solutions
Good hands-on Experience on real-time data pipelines including Kinesis and Kafka , understanding of Database architecture including MPP and ad-hoc analysis using BI/Analytical tools like Tableau, Pentaho, OBIEE or Power BI
Proven ability to analyze complex business problems using data and translate them into actionable insights stemming from data analysis
Experience with ETL and Data Blending and Transformation tools such as Pentaho Data Integrator, Talend Data Integration, Informatica
Enterprise development knowledge and/or experience with databases such as SQL Server, Oracle, MySQL and Columnar databases like Vertica, Snowflake , MemSQL , Netezza , Redshift
Good understanding of technology and industry and able to make decisions on the best technology for integrated solutions
Proven ability to communicate with business and technical audiences at all levels, including demonstrated success influencing senior leaders and decision makers
Technical Skill Required: SQL, Python. BI/Analytical Tool Preferred: Tableau, Pentaho, PowerBI

Solid abilities in Java and Typescript/JavaScript with imperative & functional programming.

Develop front-end apps in NodeJS using React.
Worked with SQL & NoSQL databases, & caching.
Experience using CI/CD build tools - Jenkins.
Comfortable using Git for source control, GitHub, JIRA & other SW lifecycle tools.

Developing on Azure.
Used Kafka or other messaging brokers for high transaction volume apps.
Previous experience in game development or similar apps.