Quality Engineer

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 Title: Senior Software Engineer (6-Month Contract)

Location: Bengaluru

Experience: 8+ Years

Mandatory Skills:

• C++ and C# programming
• Windows system-level programming
• Strong OOP, data structures, algorithms, and design patterns

Desired Skills:

• Knowledge of security fundamentals (authentication, cryptography)
• Familiarity with networking protocols (TCP/IP, TLS/SSL)
• Experience with REST clients and Windows security mechanisms

Responsibilities:

• Design, develop, and maintain Windows-based applications
• Write clean, efficient code and perform code reviews
• Collaborate with team members and communicate effectively
• Contribute to testing strategies and ensure software quality
• Prepare technical documentation and provide project status updates

Soft Skills:

• Self-driven and proactive
• Strong communication and teamwork skills

Contract Duration: 6 months

• Full-stack developer good at react.js and node.js. 
• Should be good at algorithms 
• Working experience in AWS is a plus

• Produce well-researched, informative, and engaging content that aligns with our B2B SaaS industry, including blog posts, articles, whitepapers, case studies, and website content.
• SEO Optimization: Conduct keyword research to identify relevant search terms and phrases, and incorporate them into your content to maximize organic visibility.
• Collaborate with the marketing team to develop content strategies that align with business goals and industry trends.
• Promote your content through various channels, including social media, email marketing, and other online platforms, to increase reach and engagement.
• Create content that speaks directly to our target audience, addressing their pain points and providing valuable solutions.
• Stay current with SEO and content marketing best practices, industry trends, and competitors' strategies to continually improve our content efforts.

Key Responsibilities:

• Minimum of 7+ years of experience in IT sales.
• Develop and execute sales strategies to generate new business opportunities and expand client base within the US staffing market.
• Identify and target potential clients through proactive prospecting, networking, and cold-calling efforts.
• Build and nurture strong relationships with key decision-makers and stakeholders at client organizations.
• Understand client staffing needs, requirements, and challenges to provide tailored workforce solutions.
• Collaborate with internal recruitment teams to align staffing solutions with client demands and expectations.
• Prepare and deliver compelling sales presentations, proposals, and pitches to prospective clients.
• Negotiate contract terms, pricing, and service agreements to ensure mutually beneficial outcomes.
• Monitor market trends, competitor activities, and industry developments to identify opportunities for growth and differentiation.
• Maintain accurate and up-to-date records of sales activities, client interactions, and revenue forecasts using CRM systems.
• Meet or exceed sales targets, quotas, and KPIs established by the company.

Qualifications:

• Bachelor's degree in Business Administration, Sales, Marketing, or related field.
• Proven track record of success in B2B sales, preferably within the US staffing or recruitment industry.
• Strong understanding of the US staffing market, including industry trends, client needs, and competitor landscape.
• Excellent communication, negotiation, and interpersonal skills.
• Ability to work independently and as part of a team in a fast-paced, target-driven environment.
• Proficiency in CRM software and Microsoft Office suite.
• Willingness to travel as needed.

JOB DESCRIPTION: The Fraud Lead will manage the gameplay fraud for all poker products and work closely with the payments team to create smooth players and gameplay investigations with the outcome being a low level of fraud across the business. You will liaise directly with network partners via multiple communication channels, to assist with fraud issues via providing fast, accurate and thorough responses to numerous contacts per shift. You will be responsible for building and maintaining Gaming Integrity controls related to issues such as collusion, bots/live assistance use, money dumping and more.

Your key job responsibilities as the Fraud Lead in Pocket52 will include:

• Day to day gameplay fraud analysis to identify and prevent fraud in poker
• Ensuring that all team members follow the fraud procedures
• Constant assessment of the fraud process and constant improvement to the processes
• The role involves utilizing a number of detection and investigation techniques in-order to identify high risk accounts, unusual activity, investigates and subsequently close suspicious accounts. 
• You will be proactively investigating and reviewing the player pool for suspicious activity and building cases that result in removing any players who are a threat to the integrity of the games on the Pocket network
• Review customer transactions and gameplay to prevent fraudulent actions.
• Discover new techniques in fraud prevention and customer service using various software and applications
• Monitoring for poker rooms
• Working with the product managers and marketing team to ensure promotions cannot be abused by players

To apply for the Fraud Lead in Pocket52 you will need:

• 3+ years previous experience in managing fraud for online games
• Experience playing online poker and knowledge of the online poker games products, promotion types and customers
• Knowledge of all fraud tools and ability to access products for purpose
• Ability to query and analyse behavioural data in order to identify patterns of fraud
• Ability to manage a heavy workload, prioritising and managing the pressure that comes with managing a critical product vertical
• Technically aware, comfortable working with multiple IT systems, databases and programs
• Solid understanding of game theory optimal (GTO) poker solutions
• Conduct OSINT checks in poker fraud investigations.