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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:-

Process Executive:

Domain: ITES/BPO, KPO

Designation: Process Executive - Voice

Educational Background: Minimum Technical Graduate (Btech, Bsc IT,- BSC Com Sci, MCA, Etc.)

PE Experience: 0M to 6M experience in Digital Marketing / Certification in DM along with good

communication skills

Key responsibilities

• Managing organizational sales by developing a business plan that covers sales, revenue, and expense controls.
• Meeting planned sales goals.
• Setting individual sales targets with the sales team.
• Tracking sales goals and reporting results as necessary.
• Overseeing the activities and performance of the sales team.
• Coordinating with marketing on lead generation.
• Developing your sales team through motivation, counselling, and product knowledge education.
• Build and promote strong, long-lasting customer relationships by partnering with them and understanding their needs
• Identify emerging markets and market shifts while being fully aware of new products and competition status

Key skills and experience required

• Bachelor’s / Master’s Degree in relevant field.
• Freshers with Good communication and Interest in sales are welcome.
• Experience in planning and implementing sales strategies.
• Experience in Lead generation, email marketing, excel would be preferred.
• Experience managing and directing a sales team.
• Excellent written and verbal communication skills.
• Strong business sense and industry expertise
• Excellent mentoring, coaching and people management skills

We’re hiring a Full Stack Developer with strong hands-on experience in Java, Spring Boot, and Angular to join our growing tech team.

🔧 What You'll Do

• Design and develop scalable full stack web applications
• Write clean, maintainable code using Java (Spring Boot) and Angular
• Collaborate with cross-functional teams to deliver high-quality features
• Optimize applications for performance and security
• Participate in code reviews and technical discussions

✅ What We’re Looking For

• 5+ years of professional experience in full stack development
• Strong expertise in Java, Spring Boot, and Angular
• Solid understanding of REST APIs, Microservices, and frontend integration
• Knowledge of databases and version control (Git)
• Excellent problem-solving and communication skills
• Immediate joiners are highly preferred

Responsibilities

• Assist in daily administrative tasks, such as copying, filing, and scanning documents
• Manage and maintain executives' schedules, appointments, and travel arrangements
• Coordinate meetings, including preparing agendas, taking minutes, and distributing relevant documents
• Handle incoming and outgoing correspondence, including emails, phone calls, and mail
• Maintain office supplies and equipment by monitoring inventory and placing orders as needed
• Assist in the preparation of reports, presentations, and other documents
• Schedule and coordinate office events, including meetings, training sessions, and conferences
• Perform general office duties, such as greeting visitors, answering phone calls, and organizing office space

Qualifications

• Proven experience as an administrative assistant or similar role
• Excellent organizational and time management skills
• Excellent Communication skills
• Experience in computer proficiency and Microsoft office suite
• Ability to multitask and prioritize tasks
• Attention to detail and problem-solving skills
• Discretion and confidentiality

Responsibilities

• Build and mentor the computer vision team at TransPacks
• Drive to productionize algorithms (industrial level) developed through hard-core research
• Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
• Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
• Entrepreneurial and out-of-box thinking essential for a technology startup
• Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

Eligibility

• Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (courses, projects etc) and 6-8 years of experience
• Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work) and 4-7 years of experience
• D in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Ph. D. Dissertation) and inclination to working in Industry to provide innovative solutions to practical problems

Requirements

• In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
• Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
• Ability to understand, optimize and debug imaging algorithms
• Understating and experience in openCV library
• Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
• Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
• Understanding of engineering principles and a clear understanding of data structures and algorithms
• Experience in writing production level codes using either C++ or Java
• Experience with technologies/libraries such as python pandas, numpy, scipy
• Experience with tensorflow and scikit.

Daily monitoring of Quantum's processes to ensure file transmissions to and from the system

• Ensure that any Quantum production issues with an emphasis on the modules ( Cash Management, Bank Reconciliation, Foreign Exchange, I/C loans, Money Market, Investments, etc.) are resolved on time
• Actively working with Quantum and internal IT teams to resolve issues with bank files and data transmissions between Quantum and other systems including retrieval of market rates

Responsibilities

• Deliver products on scope, time and with the highest quality
• Set up coding standards and processes in the team 
• Ensure adherence to engineering best practices, scalable architecture and modular design
• Lead efforts of a rapidly growing engineering team of strong individual contributors
• Lead design and code reviews and ensure high quality in implementation
• Ensure performance and security criteria are met
• Communicate technical directions to all levels within the company
• Report the status of work and present solutions 
• Contribute to organization-level goals like talent hiring, people skill development, etc.

Qualifications

Required Experience

• Love for Software and the Microsoft tech stack.
• 4+ years of experience with .NET, C#, ASP.NET, Microsoft Azure, etc
• Passion for upcoming tech; experience/tinkering with ASP.NET Core, Azure Cosmos DB, etc
• Basic SQL programming 
• Ability to work with client-side scripting languages; newer frameworks and paradigms such as React, Flutter or Angular
• 2+ years of experience developing large/complex application end-to-end

Technical Skills

• Proficiency in Web Development is required.
• Strong middle-tier development (API's).
• Should be hands-on with the technical deliverables.
• Very strong software engineering - design, development and testing, experience.
• Good understanding of design / architectural patterns and automation platforms.

Other Skills

• Excellent written and oral communication, team skills
• Ability to handle ambiguity and collaborate across multiple groups
• Ability to manage multiple projects/tasks concurrently and drive them to success
• Facilitate collaboration in cross-company discussions (i.e. vendor teams)
• Sound problem resolution, judgment, negotiating and decision making skills
• Excellence in strategic thinking, leadership and be able to influence without authority.
• Ability to rapidly assimilate new information and techniques