Sr.Salesforce service cloud developer

1. 5+ years of experience with a minimum of 3 yrs in Automation
2. Mobile testing experience with strong basics, understanding of testing and shipping releases on these platforms - iOS, Android, and Web
3. Prior experience in creating optimal test strategy - functional, non-functional, analytics, and automation
4. Experience with relational database and SQL queries
5. Experience of working with JIRA
6. Prior experience in working with tools like -
   1. Figma
   2. Datadog
   3. AWS

Data engineers:

Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity

Constructing infrastructure for efficient ETL processes from various sources and storage systems.

Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.

Leading the implementation of algorithms and prototypes to transform raw data into useful information.

Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.

Creating innovative data validation methods and data analysis tools.

Ensuring compliance with data governance and security policies.

Interpreting data trends and patterns to establish operational alerts.

Developing analytical tools, utilities, and reporting mechanisms.

Conducting complex data analysis and presenting results effectively.

Preparing data for prescriptive and predictive modeling.

Continuously exploring opportunities to enhance data quality and reliability.

Applying strong programming and problem-solving skills to develop scalable solutions.

Writes unit/integration tests, contributes towards documentation work

Must have ....

6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.

High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.

Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.

Solid understanding of batch and streaming data processing techniques.

Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.

Expert-level ability to write complex, optimized SQL queries across extensive data volumes.

Experience with RDBMS and OLAP databases like MySQL, Redshift.

Familiarity with Agile methodologies.

Obsession for service observability, instrumentation, monitoring, and alerting.

Knowledge or experience in architectural best practices for building data pipelines.

Good to Have:

Passion for testing strategy, problem-solving, and continuous learning.

Willingness to acquire new skills and knowledge.

Possess a product/engineering mindset to drive impactful data solutions.

Experience working in distributed environments with teams scattered geographically.

*JAVA DEVELOPER*– (Mumbai churchgate- Onsite)

*Job brief*

Java developer roles and responsibilities include managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing.

*Requirements and skills*

•          6 to 10 years of experience in application development.

•          Hands on experience in designing and developing applications using Java EE platforms.

•          Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate).

•          Experience in the Spring Framework.

•          Experience in microservices development, Azure repo knowledge.

•          Good to have knowledge of containerization/docker, azure pipeline/CICD.

•          Good to have knowledge of frontend technologies. Ex- angular, JavaScript, TypeScript.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centres and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 2+ years of experience in a Data Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases
• Experience with data pipeline and workflow management tools
• Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience supporting and working with cross-functional teams in a dynamic environment

Mandatory Skill set:

• Multiple solution stack development experience along with MEAN(Mongo, Express, Angular and Node)

• Python with any web framework

• Micro Services, Performance Engineering, Docker, Kubernetes, AZURE, CI/CD pipeline, , MySQL and Database design

Job Role:

• Responsible for component selection, design standardization, common library building.

• Build services and templates based on published standard (RFC type)Build coding templates and architypes adhering to design standard.

• Understand NFR and define architecture, design and validation for each NFR element.

• Design data model, service contract and document framework.Define and ensure coding standards

• Define and ensure UI standards are followed. Design micro services, security, deployment Well-versed in module level effort estimationWell-versed in application integration patterns Exposure to bug fixing, maintenance, continuous integration releases.

• Exposure to building architectural view like logical, physical and deployment.Exposure to performance bottleneck, RCA and remediation.Exposure to security issues, RCA and remediation.

Process Exposure:

• Able to interact with team, stakeholders and architects. Understand functional requirements and create design documents for features.

• Participate in sprint planning and story elaboration sessions.

• Candidate should be able to work independently in an Agile project.

• Experience with Test-Driven Development, Integration testing and Agile processes.Code review from a standard and design adherence perspective.