Employment Type: Full-Time
Position: Technical Program Manager
Job Location: Hyderabad
Experience: 8-14 Yrs
Key Skills: Technical Program Management, Experience in Software Development (Web Technologies)
Project: Product-Online Marketing, E-commerce Platforms
Joining time: Immediate to 30 days
Education: Master’s/Bachelor’s degree in Computer Science, Statistics, Engineering or a related technical discipline will be preferred
Positions Overview: UNIFY is looking for a Technical Program Manager for our E-Commerce product Team to gather requirements, manage objectives and build internal stakeholder relationships for the Engineering Team at StockX.
This position will help build a cross-functional team to drive the implementation and deployment of completed designs, develop and document requirements, budgets and project schedules. The TPM will assist in creating a data-driven culture that will change the way decisions are made, accelerate our business and create a new mindset as it pertains to the power of data.
As the Technical Program Manager, you are an exceptionally strong communicator, both written and verbally, and possess 7+ years of experience in tactical project management of highly technical initiatives, as well as strategic program management. Experience in managing large-scale, real-time Web programming, data pipelines and data solutions (lakes, databases, services) is a plus. You will help focus our data team, define the data roadmap and ensure stakeholders objectives are prioritized and met.
The TPM will be competent in a variety of project management tools, methodologies and techniques for all phases of the project lifecycle and exhibit demonstrated experience in core project management disciplines including scope, schedule, budget, resources, quality and risk management, reporting and metric development/tracking. Other requirements include experience with Jira, Confluence, project management tools and G-Suite. Experience with JavaScript, NodeJS, ReactJS/Angular, React Native, Scrum, SQL, AWS and data systems is a plus.
What we're looking for/Qualifications:
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7+ years of relevant work experience in internet-related technical program management of large scale cross-functional engineering efforts and/or technical product management in a software applications environment
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4+ years of experience in Software Development (Web Technologies)
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Exceptional verbal and written communication skills with the ability to work with technical and non-technical, cross-functional groups
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An ability to distil complex issues into solvable and actionable tasks
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A passion for pushing boundaries and questioning the status quo
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Experience in project management and development
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Experience in core project management disciplines including scope, schedule, budget, quality, along with risk and critical path management
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2+ years of experience in analytical, quantitative, communication, and presentations
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Experience with one more Internet technologies such as JavaScript, NodeJS, ReactJS/Angular, React Native, HTTP, REST, SOA, AWS, S3, EC2, SimpleDB
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Ability to proactively identify upcoming risks, issues, and bottlenecks and resolve issues that sometimes cross departmental boundaries
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Ability to estimate, schedule and track projects: get hands dirty herding cats
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Ability to manage multiple concurrent projects
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Bachelor's degree or higher in a technical field (e.g. computer science, engineering)
Responsibilities:
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Work cross-functionally with data engineering, data science, business intelligence, machine learning, product and engineering teams to deliver solutions that provide easy access to data and enable insights and action
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Harness the incredible power of our Data Engineering Team by providing objectives, managing timelines and leading meetings with stakeholders
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Be hands-on. Ensure technical excellence by reviewing the outputs of systems, mandating quality and getting sign off from stakeholders
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Create technical requirements documents, write user stories, sign off on completed work and envision new POCs and initiatives to drive change
Kindly reply to this with the following details if you are interested to apply for this position.
Total Experience:
Key Skills:
Program Manager Experience:
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Current CTC:
Expected CTC:
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Reason for Job change:
Are you interested in this role and job location Hyderabad Y/N:
Product Description- We feature a live marketplace where participants can buy and sell limited edition consumer products with stock market-like visibility. We are looking for talented engineers who are driven and challenged by interesting and complex problems.
Our Partners: Apple, UiPath, Airtel, Microsoft, StockX, Roche, ServiceNow, Cars24, Pay Joy, UHG-UnitedHealth Group, HP
Enterprise, Deloitte, Oxigen Wallet, Hike Messenger, Bolt, Inpods, Wynk Music, Near.co Etc.

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Job Summary:
We are looking for a motivated and detail-oriented Data Engineer with 1–2 years of experience to join our data engineering team. The ideal candidate should have solid foundational skills in SQL and Python, along with exposure to building or maintaining data pipelines. You’ll play a key role in helping to ingest, process, and transform data to support various business and analytical needs.
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- Write clean, maintainable, and performance-optimized SQL queries.
- Develop data transformation scripts and automation using Python.
- Support data ingestion processes from various internal and external sources.
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- Collaborate with data analysts, data scientists, and other engineers to ensure data quality and consistency.
- Work with cloud-based data solutions and tools (e.g., AWS, Azure, GCP – as applicable).
- Document technical processes and pipeline architecture.
Core Skills Required:
- Proficiency in SQL (data querying, joins, aggregations, performance tuning).
- Experience with Python, especially in the context of data manipulation (e.g., pandas, NumPy).
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- Basic knowledge of CI/CD practices for data pipelines.
- Bachelor’s degree in Computer Science, Engineering, or related field.


Job Description:
As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:
Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.
Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.
Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.
Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.
Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.
Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.
Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.
Skills and Qualifications:
Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.
Proficiency in designing and developing data pipelines and ETL processes.
Solid understanding of data modeling concepts and database design principles.
Familiarity with data integration and orchestration using Azure Data Factory.
Knowledge of data quality management and data governance practices.
Experience with performance tuning and optimization of data pipelines.
Strong problem-solving and troubleshooting skills related to data engineering.
Excellent collaboration and communication skills to work effectively in cross-functional teams.
Understanding of cloud computing principles and experience with Azure services.
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Requirements
- Software Test Engineer with 2-5 years of experience in Testing who can work independently and ensure quality delivery of software.
- Should have experience with different testing types like Functional, Regression, Integration, Smoke etc. Having experience in Automation, Database, API, Performance, Security testing etc. is an added advantage.
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- Possess sound knowledge of defect management cycle, defect logging tools, and logging defects
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- Critical thinker with excellent problem-solving skills and attention to detail
- Team player with the ability to work with a diverse team
- Excellent written communication skills to support collaboration with remote team members
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Participate in monitoring and maintenance of business applications and production environment
and respond to executions by initiating correct actions to meet the highest availability targets.
Develop documentation and procedures for identified scenarios.
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May resolve issues regarding on line transactions, system status and procedures, downtime
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Should have experience of integration with SWIFT with internal applications and their
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The candidate will be responsible for Ad Sales for Print Media (Magazine)
- Building leads through existing & cold calls.
- Should be a self-starter and with excellent presentation skills.
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- Meeting and exceeding weekly and monthly activity and revenue targets.
Requirements
- You have at least 3 years of experience within an Ad Sales print media industry.
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- You have a strong understanding of the industry and stay updated with market trends.
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Problem troubleshooting & Solving skills
Hands-on Hyper Converged Infrastructure & Virtualization technology Like: VMWare, RHEV And Nutanix.
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Expert on UNIX, Shell, Bash Scripting.



GREETINGS FROM CODEMANTRA !!!
EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!
Skills and Qualifications
*Strong Hands-on experience in Python Programming
*** Working experience with Computer Vision models - Object Detection Model, Image Classification
* Good experience in feature extraction, feature selection techniques and transfer learning
* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.
* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.
* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
* We are looking for a candidate with 9+ years of relevant experience , 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 AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.
Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model
Regards
Ranjith PR
