Business Development Specialist

About the Role As a Quality Analyst / Quality Controller - Call Audit, you will be responsible for monitoring and evaluating the quality of customer interactions to ensure adherence to set standards, improve service delivery, and support overall customer satisfaction goals.

Key Responsibilities

• Call Auditing: Listen to live and recorded calls to assess the quality of customer service and ensure compliance with internal standards.

• Quality Evaluation: Analyze calls using defined parameters such as communication skills, product knowledge, script adherence, issue resolution, and policy compliance.

• Feedback & Coaching: Share constructive feedback with customer service agents to improve individual and team performance.

• Reporting: Maintain detailed records of audit findings, trends, and improvement areas. Generate timely reports for leadership review.

• Process Improvements: Collaborate with internal teams to propose and implement process enhancements for better customer interactions.

• Proficient in Kotlin
• Experience in MVVM Code architecture
• Understanding of using Jetpack libraries in Android
• Experience in RxJava techniques
• Capable of learning a new technology like Flutter
• Knowledge in Android app life cycle
• Have experience in Android app submission in PlayStore
• Ensure the performance, quality, and responsiveness of applications
• Proven software development experience and Android skills development
• Proven working experience in Android app development
• Have published at least one original Android app
• Experience with Android SDK
• Experience working with remote data via REST and JSON
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle

About Us

At Tequity, we specialize in end-to-end product development, delivering insightful research, user-centric design, and scalable engineering solutions. Our dedicated team of product managers, designers, and engineers work collaboratively to ensure your business achieves its goals.

Job Description

We are seeking a skilled Senior QA engineer to join our team. In this role, you will be responsible for working with development teams and product managers to test software solutions.

Roles and Responsibilities:

• Review requirements, specifications and technical design documents to provide timely and meaningful feedback.
• Collaborate with internal teams (e.g. developers and product managers) to identify system requirements.​
• Create detailed, comprehensive and well-structured test plans and test cases.
• Setup testing SoPs to ensure catch 95% of all bugs before it reaches the clients in the first 6 months.
• Hire and train at least 3 QA engineers in the first 6 months.
• Leverage LLMs (gen-AI) to set-up testing pipeline to increase basic testing productivity by 50% in the first 6 months.
• Track quality assurance metrics, like defect densities and open defect counts.
• Stay up-to-date with new testing tools and test strategies.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• 5+ years of experience as a software QA engineer.
• Should have led multiple teams and have worked on large scale projects.
• Strong knowledge of software QA methodologies, tools and processes.
• Hands-on experience with both white box, black box testing and automated testing tools.
• Solid knowledge of SQL and scripting.
• Experience working in an Agile/Scrum development process.

Benefits

• Competitive salary and benefits.
• Opportunities for professional growth and development.
• A dynamic and inclusive work environment.

• Improving system quality by identifying issues and common patterns and developing standard operating procedures.
• Enhancing applications by identifying opportunities for improvement, making recommendation and designing and implementing systems.

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• 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 AWS ‘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 centers and AWS 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.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
  • data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Designation: Technical Lead (ABL_SS_272)

Position description:

• Work with Product and Engineering leaders to drive and implement platform and product vision.
• Leverage deep and wide knowledge of technology stack to recommend appropriate architecture and design solutions, and provide technical leadership to a team of rock star Software Engineers.
• Translate the impact of design choices on non-functional attributes like scalability, performance, availability, and security.
• Create large-scale, multi-tiered, distributed web applications with databases, and designing web services, APIs, data models, and schemas, using SQL or NoSQL.
• Experience with Cloud environments, such as AWS.
• Comfortable working with Windows and Linux environments.
• Work with different data storage solutions such as Postgres, Oracle, SQL Server, ElasticSearch, SQL, Hadoop, or MongoDB.
• Experience delivering high-quality software following continuous delivery and using code quality tools (JIRA, GitHub, Jenkin, Hudson, Sonar, and Fortify, etc.).
• Drive adoption of best practices across the Software Engineering Lifecycle, including reviews, source control, build processes, continuous integration, and deployment.
• Develop and maintain cross-functional relationships and alignment.

Primary Responsibilities:

• Application Development using Golang / C++.

Reporting Department: Application Development and Maintenance (1991)

Educational qualifications preferred Degree: Bachelors degree

Required Skills:

• Experience of building scalable architectures
• Hands-on experience with GoLang, Node Js, C++ or Java or any other Open Source technologies/ Cloud Servers
• Experience in developing software using a formal & structured development methodology
• Ability to work in a collaborative team environment
• Experience with test-driven development & proper unit testing of code
• An iterative approach to development, using short development cycles & frequent builds
• Object-oriented programming/ Object Oriented Design (OOP/OOD)
• Ability to develop secure solutions & knowledge of industry best practices regarding information security & defensive development

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.