דרושים Lead Data Scientist ב-Att ב-India, Bengaluru

• Develop high-performance, scalable, distributed computing tasks using Python, PySpark, and other distributed environment technologies.
• Design, develop, and maintain scalable data pipelines for collecting, processing, and storing large datasets.
• Deploy and integrate Generative AI models, including Large Language Models (LLMs), into production environments.
• Implement effective prompt engineering strategies to enhance model performance and outputs.
• Utilize FastAPI for creating robust APIs and write efficient Python code to support data processing, model deployment, and AI-driven solutions.
• Use big data programming languages and technology to write code, complete programming and documentation, and perform testing and debugging of applications.
• Analyze, design, program, debug, and modify software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions.
• Interact with data scientists and industry experts to understand how data needs to be converted, loaded, and presented.
• Work in a highly agile environment.
• Manage day-to-day work and deliverables.

Qualifications:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or Scientific Computing preferred.
• Experience: Typically requires 12 plus years of relevant experience.
• Technical Skills:
  • Proficiency in Python, Scala, and SQL.
  • Expertise / Experience in UI / Frontend using React.JS
  • Hands-on experience with popular front end and back-end frameworks.
  • Expertise in backend API development or Integration using FastAPI, Flask, or Django.
  • Experience with React JS and other front end frameworks and data processing and analysis libraries such as Pandas, NumPy, and PySpark.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Domain Knowledge: Familiarity with telecom datasets.
• Cloud Expertise: Experience with Azure cloud services.
• Communication Skills: Strong ability to communicate effectively with all levels of management, understand business requirements, and define project roadmaps.

Time Type:

AT&T is a fair chance employer and does not initiate a background check until an offer is made.

• Develop high-performance, scalable, distributed computing tasks using Python, PySpark, and other distributed environment technologies.
• Design, develop, and maintain scalable data pipelines for collecting, processing, and storing large datasets.
• Deploy and integrate Generative AI models, including Large Language Models (LLMs), into production environments.
• Implement effective prompt engineering strategies to enhance model performance and outputs.
• Utilize FastAPI for creating robust APIs and write efficient Python code to support data processing, model deployment, and AI-driven solutions.
• Use big data programming languages and technology to write code, complete programming and documentation, and perform testing and debugging of applications.
• Analyze, design, program, debug, and modify software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions.
• Interact with data scientists and industry experts to understand how data needs to be converted, loaded, and presented.
• Work in a highly agile environment.
• Manage day-to-day work and deliverables.

Qualifications:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or Scientific Computing preferred.
• Experience: Typically requires 12 plus years of relevant experience.
• Technical Skills:
  • Proficiency in Python, Scala, and SQL.
  • Expertise / Experience in UI / Frontend using React.JS
  • Hands-on experience with popular front end and back-end frameworks.
  • Expertise in backend API development or Integration using FastAPI, Flask, or Django.
  • Experience with React JS and other front end frameworks and data processing and analysis libraries such as Pandas, NumPy, and PySpark.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Domain Knowledge: Familiarity with telecom datasets.
• Cloud Expertise: Experience with Azure cloud services.
• Communication Skills: Strong ability to communicate effectively with all levels of management, understand business requirements, and define project roadmaps.

Time Type:

AT&T is a fair chance employer and does not initiate a background check until an offer is made.

About the Role:

Key Responsibilities:

• Design, build, and sustain secure, high-quality Java applications and REST APIs leveraging Spring Boot and Spring MVC frameworks.
• Construct and execute tests using JUnit to ensure application reliability and integrity.
• Work with MySQL databases, including writing complex queries and optimizing performance.
• Utilize JSP and JQuery for front-end development and dynamic web page creation.
• Troubleshoot and resolve software defects and issues.
• Stay up to date with emerging technologies and industry trends.

Required Skills:

• Overall 12 or more years of hands-on experience in Java/Spring Boot/Spring MVC development.
• Strong knowledge of MySQL database management and query optimization.
• Proficiency in JUnit for unit testing.
• Experience with JSP and JQuery for front-end development.
• Solid understanding of object-oriented programming principles.
• Familiarity with Git, Maven
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Knowledge of RESTful APIs and web services.
• Familiarity with Agile development methodologies.
• Bachelor’s degree in computer science, Information Technology, or a related field.

Desired Skills:

• Understanding of cyber security fundamentals and concepts
• Good understanding of networking protocols such as TCP, IPv4 / IPv6 and others
• Knowledge of scripting languages such as JavaScript, Python and Shell.
• Understanding of cyber security fundamentals and concepts
• Flexible to provide coverage in US morning hours on a need-basis, and as required
• Strong written, verbal and presentation skills
• Experience working in an environment where coordination with multiple teams is essential to success
• Ability to prioritize individual/group work in a high-stress and time-bound environment

Time Type:

AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Job Description:

Perform SAST/SCA/DAST scans using industry vulnerability scannerDAST – Work begins with crawling the target application to identify existing directory and file structure. Once identified, execute DAST scan using HCL product to identify dynamic issue only visible during code execution.During testing process, tester MUST ensure application is not degraded and/or taken out of service due to scanning activitiesTester must ensure results from scanner are present in VM reporting platforms and visible to approved app usersValidation - Supplier will perform manual validation and false-positive analysis on the automated scan results.Complex application testing and remediation/mitigation recommendation authorTechnical leadership of group of less experienced testers.Adversary based approach to test plan developmentHijack accounts (Does not include social engineering methods)EcoSystem TestingFull Stack review, weakness enumer

Time Type:

AT&T is a fair chance employer and does not initiate a background check until an offer is made.

About AT&T Chief Data Office

Candidates will:

• Work on cutting-edge Cloud Technologies, AI/ML, and data-driven solutions, be a part of a dynamic and innovative team driving digital transformation.
• Lead high-impact Agile initiatives with top talent in the industry.
• Get opportunity to grow and implement Agile at an enterprise level.
• Offered competitive compensation, flexible work culture, and learning opportunities.

Shift timing (if any):12.30 to 9.30 IST(Bangalore)/1:00-10:00 pm (Hyderabad)

Hybrid (3 days mandatory in office)

Roles and Responsibilities

• Create product roadmap and project plan.
• Design, develop, and maintain scalable ETL pipelines using Azure Services to process, transform, and load large datasets into Cloud platforms.
• Collaborate with cross-functional teams, including data architects, analysts, and business stakeholders, to gather data requirements and deliver efficient data solutions.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
• Work together with data scientists/architects and analysts to understand the needs for data and create effective data workflows.
• Exposure to Snowflake Warehouse.
• Big Data Engineer with solid background with the larger Hadoop ecosystem and real-time analytics tools including PySpark/Scala-Spark/Hive/Hadoop CLI/MapReduce/Storm/Kafka/Lambda Architecture
• Implementing data validation and cleansing techniques.
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
• Experience in designing and hands-on development in cloud-based analytics solutions.
• Expert level understanding on Azure Data Factory Azure Data Lake, Snowflake, Pyspark is required.
• Good to have exp in full Stack Development background with Java and JavaScript/CSS/HTML.
• Knowledge of ReactJs/Angular is a plus.
• Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
• Unix/Linux expertise; comfortable with Linux operating system and Shell Scripting.
• Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is desirable.
• PL/SQL, RDBMS background with Oracle/MySQL
• Comfortable with microServices, CI/CD, Dockers, and Kubernetes
• Strong experience in common Data Vault data warehouse modelling principles.
• Creating/modifying Dockers and deploying them via Kubernetes.

Additional Skills Required:

The ideal candidate should have at least 14+ years of experience in IT along in addition to the following:

• Having 10+ years of extensive development experience using snowflake or similar data warehouse technology
• Having working experience with dbt and other technologies of the modern datastack, such as Snowflake, Azure, Databricks and Python,
• Experience in agile processes, such as SCRUM
• Extensive experience in writing advanced SQL statements and performance tuning.
• Experience in Data Ingestion techniques using custom or SAAS tool
• Experience in data modelling and can optimize existing/new data models
• Experience in data mining, data warehouse solutions, and ETL, and using databases in a business environment with large-scale, complex datasets

Technical Qualifications:

Preferred:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Experience in high-tech, software, or telecom industries is a plus.
• Strong analytical skills to translate insights into impactful product initiatives.

Time Type:

AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Job Description:

• Full life-cycle experience on enterprise software development projects.
• Must have 10+ years of experience and should be a hands-on person working as an ETL Lead
• Experience in cloud Relational databases/ data marts/data warehouses and complex SQL programming
• Extensive experience in ETL, Shell /Python scripting, FASTAPI, data modelling, analysis and preparation
• Experience in Unix/Linux system, files systems, shell scripting
• Experience working in Snowflake
• Experience working in Databricks
• Should be working on Azure cloud platforms
• Good to have experience in BI Reporting tools – Power BI or Tableau
• Good problem-solving and analytical skills used to resolve technical problems
• Good to have knowledge on ML /Gen AI skills
• Must possess a good understanding of business requirements and IT strategies
• Ability to work independently but must be a team player. Should be able to drive business decisions and take ownership of their work
• Experience in presentation design, development, delivery, and good communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts.

Time Type:

AT&T is a fair chance employer and does not initiate a background check until an offer is made.