Data Engineer

Salesforce DevOps Engineer

Responsibilities

• Support the design and implement of the DevOps strategy. This includes but is not limited to the CI/CD workflow (Version Control, and automated deployments) ,Sandbox Management , Documenting DevOps releases , Overseeing the Developer Workflow and ensuring Code Reviews take place.
• Work closely with QA, Tech Leads, Senior Devs and Architects to ensure the smooth delivery of build artefacts into Salesforce environments.
• Implement scripts utilising the Salesforce Metadata API and SFDX
• Refine technical user stories as required, articulate clearly the technical solution required to meet a specific DevOps requirement.
• Support the Tech Lead with ensuring best practises are adhered to, providing feedback as required.
• Maintain the development workflow, guide and effectively communicate the workflow to Development teams
• Design, implement, and maintain CI/CD pipelines.
• Automate infrastructure provisioning and configuration management.
• Monitor system performance and troubleshoot issues.
• Ensure security and compliance across all environments.

Required Skills & Experience

• Proficiency in CI/CD tools such as GitHub Actions.
• 5+ years in Salesforce Development
• Strong experience CI/CD technologies, Git (version control), Salesforce Metadata API, SFDX
• Expertise in large-scale integration using SOAP, REST, Streaming (including Lightning Events), and Metadata APIs, facilitating the seamless connection of Salesforce with other systems.
• Excellent technical documentation skills
• Excellent communication skills

Desired Skills

• Comfortable and effective in leading developer, ensuring project success and team cohesion
• Financial Services industry experience

●Experience in working in both agile and waterfall methodologies.

Responsible for completing the UK Year End accounts as per the timeline with zero errors as per the tasks allocated by client manager or dot manager.

Prompt communication for all the queries pertaining to the job and resolving the queries.

Ensure client and dot managers are informed about leave absence in advance and the work at hand is completed.

To timely fill timesheet and utilise the time to complete the jobs effectively.

Sending an updated work email to client manager and dot manager respectively.

Knowledge of Preparing UK Year-End working paper.

Posting of bank transactions into the bookkeeping software’s such as- Payments, Receipts, Deposits Bank Fees, etc. and reconciling Bank Accounts. 

Detailed knowledge of filling Vat returns with HMRC.

Exporting Reports on Excel Spreadsheet and PDF generated from the Software.

Knowledge of running the UK payroll is an advantage but not essential. Feedback and resolve any issues or conflicts.

Purpose of Job:
We are looking for an exceptionally talented Lead data engineer who has
exposure in implementing AWS services to build data pipelines, api
integration and designing data warehouse. Candidate with both hands-on
and leadership capabilities will be ideal for this position.

Job Responsibilities:
• Total 6+ years of experience as a Data Engineer and 2+
years of experience in managing a team
• Have minimum 3 years of AWS Cloud experience.
• Well versed in languages such as Python, PySpark, SQL, NodeJS etc
• Has extensive experience in Spark ecosystem and has
worked on both real time and batch processing
• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.
• Experience with modern Database systems such as
Redshift, Presto, Hive etc.
• Worked on building data lakes in the past on S3 or
Apache Hudi • Solid understanding of Data Warehousing Concepts
• Good to have experience on tools such as Kafka or Kinesis
• Good to have AWS Developer Associate or Solutions
Architect Associate Certification
• Have experience in managing a team

Qualifications:
At least a bachelor’s degree in Science, Engineering, Applied
Mathematics. Preferred Masters degree. Other Requirements: Team Management skills, Learning Attitude, Ownership skills

Job Description: Principal Engineer (Full Stack Architect)

Job Title: Full Stack Architect

Location: Hyderabad, India

Experience: 15Years to 20 years (4+ years in Enterprise Architecture)

Technology Stack: MERN (MongoDB, Express, React, Node.js), Distributed Systems, Cloud (GCP/Azure), Neo4j, Vector Databases, SQL and NoSQL Databases, Knowledge Graphs.

Industry: Enterprise Software, Large-Scale Distributed Systems, Machine Learning

Job Summary

As a Full Stack Architect, you will play a pivotal role in designing and architecting large-scale distributed systems with a strong focus on the MERN stack (MongoDB, Express.js, React, Node.js). You will lead the design and implementation of enterprise-grade software solutions that leverage cloud infrastructure (GCP/Azure), knowledge graphs (Neo4j), vector databases, and machine learning at scale. In this role, you will work closely with cross-functional teams including data scientists, cloud engineers, and front-end developers to deliver high-performance, secure, and scalable applications.

This role requires a deep understanding of distributed systems architecture, graph databases, machine learning systems, and cloud computing, with a strong focus on building solutions that meet business and technical needs. The ideal candidate will have 12+ years of experience with a proven track record of architecting full-stack systems and leading engineering teams in a fast-paced, innovative environment.

Roles and Responsibilities

Full Stack Architecture: Design, develop, and maintain highly scalable, distributed, and fault-tolerant enterprise applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

Distributed Systems: Architect and design large-scale distributed systems that handle high- volume, low-latency data processing.

Cloud Engineering: Implement and maintain cloud infrastructure solutions on GCP or AWS,ensuring high availability, scalability, and performance.

Knowledge Graphs and Databases: Design and optimize complex data models using Neo4j, vector databases, and other NoSQL solutions to manage interconnected data efficiently.

Enterprise Solutions: Architect and deliver cloud-native enterprise software solutions that meet enterprise-grade security, compliance, and performance requirements.

Data Structure & Algorithms (DSA): Lead by example in writing efficient, high-performance code and optimize software with a strong focus on algorithms, data structures, and system design principles.

Collaboration: Work with engineering, data science, and product teams to translate business requirements into scalable technical solutions.

Mentorship: Mentor junior engineers and foster a collaborative team environment.

Performance Optimization: Ensure system performance, scalability, and reliability throughcode reviews, optimizations, and best engineering practices.

Documentation & Best Practices: Maintain comprehensive architecture documentation and promote engineering best practices across teams.

Mandatory Requirements

Experience: 12+ years of full-stack development experience, with significant expertise

in building and architecting applications using the MERN stack (MongoDB, Express.js,

React, Node.js).

 Distributed Systems: Proven track record of architecting and implementing large-scale

distributed systems with a focus on reliability, scalability, and performance.

 Cloud Expertise: Extensive hands-on experience with cloud infrastructure (GCP or AWS),

with a deep understanding of cloud services such as compute, storage, networking, and

security.

 Database Systems: Expertise in NoSQL databases like MongoDB and graph databases like

Neo4j. Experience with vector databases for high-dimensional data processing.

 Knowledge Graphs: Hands-on experience in designing and working with knowledge graphs

for solving complex data relationships.

 Data Structures & Algorithms: Strong knowledge of DSA with practical experience in

solving complex technical challenges.

 Microservices Architecture: Experience in designing and developing microservices-based

architectures and ensuring high availability.

 DevOps ; Automation: Knowledge of DevOps practices (CI/CD), containerization (Docker), and orchestration (Kubernetes).

 Agile Methodologies: Experience with Agile development methodologies, including SCRUM, TDD, and iterative development.

Nice-to-Have Requirements

 Front-End Expertise: Advanced experience with React.js, with knowledge of modern front- end technologies (Next.js, Redux, TypeScript).

 Cloud Certifications: Google Cloud Professional Architect or Azure Certified Solutions Architect certifications.

 Data Engineering: Hands-on experience with data pipelines, ETL processes, and big data technologies (e.g., Apache Spark, Kafka).

 AI/ML Ops: Experience in deploying machine learning models using MLOps frameworks and automating ML pipelines.

 Graph Analytics: Experience in graph algorithms and analytics, with the ability to model and query complex relationships in a graph database.

 System Design: Experience in conducting system design reviews, providing insights into performance bottlenecks, scalability, and trade-offs.

 Security & Compliance: Knowledge of enterprise-level security protocols and data privacy compliance frameworks (e.g., SOC2, GDPR).

Leadership: Proven experience in leading cross-functional teams, setting technical roadmaps, and ensuring alignment between business and technical goals.