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SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

Job Description

We are seeking a highly skilled Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) and CI/CD automation to lead cloud infrastructure initiatives. The ideal candidate will design and implement robust CI/CD pipelines, automate deployments, ensure platform reliability, and drive continuous improvement in cloud operations and DevOps practices.

Key Responsibilities:

• Design, develop, and optimize end-to-end CI/CD pipelines using Jenkins, with a strong focus on Declarative Pipeline syntax.
• Automate deployment, scaling, and management of applications across various GCP services including GKE, Cloud Run, Compute Engine, Cloud SQL, Cloud Storage, VPC, and Cloud Functions.
• Collaborate closely with development and DevOps teams to ensure seamless integration of applications into the CI/CD pipeline and GCP environment.
• Implement and manage monitoring, logging, and ing solutions to maintain visibility, reliability, and performance of cloud infrastructure and applications.
• Ensure compliance with security best practices and organizational policies across GCP environments.
• Document processes, configurations, and architectural decisions to maintain operational transparency.
• Stay updated with the latest GCP services, DevOps, and SRE best practices to enhance infrastructure efficiency and reliability.

Mandatory Skills:

• Google Cloud Platform (GCP) – Hands-on experience with core GCP compute, networking, and storage services.
• Jenkins – Expertise in Declarative Pipeline creation and optimization.
• CI/CD – Strong understanding of automated build, test, and deployment workflows.
• Solid understanding of SRE principles including automation, scalability, observability, and system reliability.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes – GKE).
• Proficiency in scripting languages such as Shell, Python, or Groovy for automation tasks.

Preferred Skills:

• Experience with Terraform, Ansible, or Cloud Deployment Manager for Infrastructure as Code (IaC).
• Exposure to monitoring and observability tools like Stackdriver, Prometheus, or Grafana.
• Knowledge of multi-cloud or hybrid environments (AWS experience is a plus).
• GCP certification (Professional Cloud DevOps Engineer / Cloud Architect) preferred.

Skills

Gcp, Jenkins, CICD Aws,

Nice to Haves

Experience with Terraform, Ansible, or Cloud Deployment Manager for Infrastructure as Code (IaC).

Exposure to monitoring and observability tools like Stackdriver, Prometheus, or Grafana.

Knowledge of multi-cloud or hybrid environments (AWS experience is a plus).

GCP certification (Professional Cloud DevOps Engineer / Cloud Architect) preferred.

******

Notice period - 0 to 15days only

Location – Pune, Trivandrum, Kochi, Chennai

·      A thoroughly experienced OMS resource with preference to Blue Yonder OMS and good exposure in building custom microservices as extension points to OMS possessing good cloud knowledge.

·      Extensive backend development knowledge with core Java/J2EE and Microservice based event driven architecture with a cloud based architecture (preferably AWS)

·      Should be cognizant of key integrations undertaken in eCommerce and associated downstream subsystems which should include but not limited to different Search frameworks, Payment gateways, Product Lifecycle Management Systems, Loyalty platforms, Recommendation engines, Promotion frameworks etc.

·      Recommend someone having a good knowledge of integrations with downstream eCommerce systems like OMS, Store Systems, ERP etc.

·      Any additional knowledge on OMS and Store domains will be additional advantage.

·      Experience in Service Oriented Architecture - Developing/securely exposing/consuming Web Services – RESTful and integrating headless applications.

·      Should be able to understand system end-end, maintain application and troubleshoot issues.

·      Good understanding of Data Structures and Entity models.

·      Should have understanding of building, deploying and maintaining server based as well as serverless applications on cloud, preferably AWS.

·      Expertise in integrating synchronously and asynchronously with third party web services.

·      Good to have concrete knowledge of AWS Lambda functions, API Gateway, AWS.

·      CloudWatch, SQS, SNS, Event bridge, Kinesis, Secret Manager, S3 storage, server architectural models etc.

·      Knowledge on any major eCommerce / OMS platforms will have added advantage.

·      Must have a working knowledge of Production Application Support.

·      Good knowledge of Agile methodology, CI/CD pipelines, code repo and branching strategies preferably with GitHub or Bitbucket.

·      Good knowledge of observability tools like NewRelic , DataDog, Graphana, Splunk etc. with knowledge on configuring new reports, proactive alert settings, monitoring KPIs etc.

·      Should have a fairly good understanding of L3 support processes, roles and responsibilities.

·      Should work closely with counterparts in L1/L2 teams to monitor, analyze and expedite issue resolutions, reduce stereoptypes, automate SoPs or find avenues for the same by being proactive.

Should be flexible to work with overlap with some part of onsite (PST) hours as part of various client meetings and hand offs with Alo client leadership team

Job Summary:

Deqode is looking for a highly motivated and experienced Python + AWS Developer to join our growing technology team. This role demands hands-on experience in backend development, cloud infrastructure (AWS), containerization, automation, and client communication. The ideal candidate should be a self-starter with a strong technical foundation and a passion for delivering high-quality, scalable solutions in a client-facing environment.

Key Responsibilities:

• Design, develop, and deploy backend services and APIs using Python.
• Build and maintain scalable infrastructure on AWS (EC2, S3, Lambda, RDS, etc.).
• Automate deployments and infrastructure with Terraform and Jenkins/GitHub Actions.
• Implement containerized environments using Docker and manage orchestration via Kubernetes.
• Write automation and scripting solutions in Bash/Shell to streamline operations.
• Work with relational databases like MySQL and SQL, including query optimization.
• Collaborate directly with clients to understand requirements and provide technical solutions.
• Ensure system reliability, performance, and scalability across environments.

Required Skills:

• 3.5+ years of hands-on experience in Python development.
• Strong expertise in AWS services such as EC2, Lambda, S3, RDS, IAM, CloudWatch.
• Good understanding of Terraform or other Infrastructure as Code tools.
• Proficient with Docker and container orchestration using Kubernetes.
• Experience with CI/CD tools like Jenkins or GitHub Actions.
• Strong command of SQL/MySQL and scripting with Bash/Shell.
• Experience working with external clients or in client-facing roles.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Developer or DevOps Engineer).
• Familiarity with Agile/Scrum methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

DA DS Trainer JD:

Key Responsibilities:

Develop and deliver comprehensive training programs on data science topics, including machine learning, artificial intelligence, big data, data mining, and predictive analytics.

Create engaging and interactive training materials, including presentations, hands-on exercises, case studies, and assessments.

Conduct classroom, online, and one-on-one training sessions for students at different skill levels.

Evaluate students' performance and progress, providing feedback and support to help them improve.

Stay up-to-date with the latest trends and best practices in data science and incorporate them into training programs.

Collaborate with other trainers and industry experts to continuously improve training content and methodologies.

Assist in the development of training schedules and manage training logistics.

Provide mentorship and career guidance to students aspiring to build a career in data science.

Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; a Master’s degree is a plus.

Proven experience as a Data Science Trainer or a similar role.

In-depth knowledge of data science concepts and hands-on experience with tools like Python, R, TensorFlow, and Hadoop.

Excellent presentation and communication skills.

Strong organizational and time-management abilities.

Ability to simplify complex concepts and deliver them in an understandable manner.

Certification in Data Science (e.g., Microsoft Certified: Azure Data Scientist Associate) is preferred.

Preferred Skills:

Experience with LMS (Learning Management Systems) and e-learning platforms.

Strong analytical and problem-solving skills.

Ability to adapt training methods to different learning styles.

Passion for continuous learning and professional development.

Benefits:

Competitive salary and performance-based incentives.

Professional development opportunities.

Flexible working hours.

Collaborative and innovative work environment.

What we look for:

We have a unique opportunity as we are looking for a Sales Manager at Epixel Solutions. You have the opportunity to build the sales process from the ground up. This position will be responsible for developing a sales team, coordinating sales operations, and implementing sales techniques that allow the business to meet and surpass its sales targets consistently. You will work with high-profile customers, evaluate budgets, and determine ways to simplify and improve the sales process.

Your tasks often include assigning sales territories, mentoring members of the sales team, setting quotas, assigning sales training, hiring salespeople, and building sales plans. You will also set goals, identify priorities and eliminate redundant activities to increase sales.

Additional duties could find you traveling to client sites, and attending conferences, conventions, and small workshops representing Epixel Solutions.

This position will report to the Chief Growth officer who heads up the Go To Market (GTM) team.

Responsibilities:

The duties and responsibilities of our ideal Sales Manager include:

• Developing and implementing strategic sales plans that expand a company’s customer base and solidify its presence.
• Achieving growth and hitting sales targets by successfully managing sales teams and by assessing the teams' strengths and weaknesses.
• Establishing productive and professional relationships with key personnel in assigned customer accounts.
• Building and promoting healthy, long-lasting customer relations by partnering with them.
• Developing and implementing new sales initiatives, strategies, and programs to capture key demographics.
• Providing daily/weekly/monthly and quarterly reports of field sales success and communicating the Voice of the Customer (VOC) to the reporting manager.

Skills and qualifications:

A successful Sales Manager candidate with Epixel will be the driving force behind our competent sales team and will have a variety of skills and qualifications that include:

• Ability to communicate, inspire and motivate
• Proven ability to drive the sales process from plan to close
• Excellent mentoring, coaching, and people management skills
• Excellent time management skills to maximize their ability to reach goals
• Ability to identify, recruit and hire talented sales reps

Requirements:

Prospective Sales Manager candidates should have a minimum of 5-10 years of experience working in the sales field, preferably in a fast-moving SaaS organization or startup. They should also have a successful and verified track record in leading a sales department to achieve its goals.

The right candidate should be able to identify opportunities in sales and profits and possess knowledge about allocating Sales Representatives to achieve or exceed set sales performance targets. The candidate must be skilled in data analysis and managing customers using customer relationship management (CRM) as this position involves working with a lot of data and prospects.

Familiarity with our tech stack would be a plus (Zoho, Calendly, Google Apps, Redmine)

The Epixel sales team is war-ready to support our international clients and prospects around the clock. Hence, candidates should be flexible working in three different shifts on and off according to business needs.

Technical Lead - .NET

Responsibilities:

• Develop and deliver technical systems
• Maintain adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc.
• Participate in the development and review of documents to comply with SDLC methodologies [e.g., Engineering Work Breakdown Structure (WBS), estimation, Solution Design Document (SDD) and Software Architecture Documents (SAD)]
• Provide support and documentation to assist in sustaining the project during the transition to production where necessary
• Adhere to Application Engineering methodologies, standards, code reviews
• Provide feedback regarding application engineering methodologies, standards, and leading practices when appropriate
• Identify potential points of contention for missed activities and notify project leadership of situation and remediation plan
• Minimize technical exposure and risk on projects
• Provide technical guidance to development team members
• Technical deliverables (i.e., code and documentation) on projects assigned
• Translate detailed Requirements and Design and Solution Architecture deliverables into detailed design specifications
• Maintain effective and consistent communication within the team, with peers, the leadership team, and the peers in other IT groups
• Proactively raise issues to Technical and Group Leads when necessary
• Produce high-quality application engineering deliverables in accordance with the project timeline
• Build and unit test a project to detailed design specifications
• Provide thought leadership and technical guidance to engineering staff
• Review of code completed
• Review performance of developers
• Proactively anticipate project issues before they occur; define the problem; identify possible causes; work with the team to identify solutions; select and implement the most appropriate solution
• Apply judgment in implementing Application Engineering methodologies, processes, and practices to specific requirements of projects/programs which may include product design engineering, information security, code maintainability and reliability

Requirements:

Must Have:

• Bachelor’s OR master’s degree in a technical field and/or equivalent work experience
• At least 3 years acting a senior architecture / technical lead role in a comparable organization
• Significant experience of deploying large, enterprise-wide implementations to significant user volumes
• At least 5 years of hands-on experience leading a team of developers - defining work breakdown structures/tasks, assigning the teamwork items, monitoring, and ensuring quality and adherence to standards etc.
• At least 8 years of relevant hands-on work experience building, integrating, and delivering enterprise-wide web and windows applications using Microsoft and other technologies for large organizations on complex projects
• 8+ years of ASP.Net MVC, ASP.Net experience
• 8+ years of experience of working with applications that have a SQL Server backend
• 5+ years of experience with Object-Relational Mappers such as Entity Framework, ADO.NET, Dapper
• Expert level knowledge of .NET Web API is required. .NET Core knowledge is preferred, but Web API experience with legacy .NET is ok
• 5+ years of experience with GIT
• 3+ years of experience of Azure Devops
• In-depth knowledge of object-oriented analysis and design (OOAD) principles, and familiarity with many design patterns for Software applications.
• Demonstrated expertise in application design and construction, work breakdown structure of items, design and code reviews, unit test and build activities, deployment and performance related activities, documentation, support, and training/mentoring
• Excellent communication skills, verbal and written

Nice to have:

• Ideally experience working with SSRS, SSIS
• Experience with MongoDB or another document database would be a plus
• Knowledge and experience with working on N-Tier applications.
• Demonstrated ability to build strong working relationships
• Experience working on projects following Agile methodologies would be ideal
• Experience working with Azure or other cloud providers would be ideal
• Ability to work within diverse, global, virtual teams.
• Proven ability to thrive under pressure
• Some experience with design and prototyping tools and diagramming is desired

•  DOT NETCore,.NET, C#,NET Core, http://asp.net/" target="_blank">ASP.NET Core Rest API, Odata,
• Blazor, HTML, CSS, Bootstrap, JavaScript,
• Development of Docker container-based microservices,
• Azure SaaS Services (Azure Service Bus, Azure Kubernetes Services, CosmosDB, Cognitive Services, Redis),
• Azure DevOps (ALM Platform),
• CI/CD delivery via Azure Pipelines,
• MS-SQL (T-SQL) and No-SQL databases (MongoDB),
• Object-Oriented Programming Principles, SOLID, Design patterns
• Good communication skill

Role Description:

• Lister is actively engaged with client across digital transformation and engineering
• As a part of this engagement, you will be working with our clients on solution design and architecture, technology decisions, while co-ordinating technical efforts for the team
• As a Technical Lead:, You will need to collaborate with Solution Architects define technology
• roadmap, evaluate/recommend technologies, architect and design solutions, Work
• with other developers to oversee the development and implementation
• You will translate functional requirements from business stakeholders to the technical
• team for implementation
• You will need to troubleshoot design flaws and system bottlenecks
• You will have to be hands-on with code reviews and evaluate implementation for performance and scale
• Manage communication between our clients and internal teams in India and USA
• Coordinate with the offshore team to deliver projects across work streams, Identify risks, issues and blockers to progress and mitigate them for the team
• Rapidly gain an understanding of project requirements and drive execution
• Work with delivery team to ensure the highest quality of materials are being produced and all client needs are met.

Skills Required:

• Excellent understanding of backend and frontend components in the following stack: NodeJS, TypeScript, Javascript, ReactJS, multiple RDBMS and NoSQL databases like Postgres, MySQL, MongoDB Experience of working on AWS services (Lambda, Step functions, SQS, S3 SNS)
• Microservice design pattern is a must
• Experience in Docker, Kubernetes, containerization and CI/CD pipelines is preferable
• Experience in software development tools like Prettier, CodeCov, Snyk, etc..
• Excellent verbal and written communication skills; client facing and interpersonal skills; must be a listener, a presenter, and a people-person
• Experience in Designing scalable architecture systems for Node-based applications
• Ability to grasp complex implementations; Proven results of delivering client solutions
• Should have experience of working with offshore team
• Experience in working on large scale technology transformation projects for product companies is preferable
• Technology contributions to open source projects will be an added advantage
• Should have completed Certifications or training on AWS (AWS Solutions Architect), NodeJS, front-end frameworks.