דרושים Senior 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 Job:

8+ years

Roles and Responsibilities:

• Responsible for analyzing event data to discover threats and other security issues, patterns and trends.
• Research, analyze and interpret both what is and what is not contained in the security event data.
• Recommend remediation measures for security issues / threats discovered.
• Recommend areas for further study and research pertaining to the observations.
• Serve as an additional point of contact for security issues / events, working with the stakeholders to deliver on the request. This position may sometimes be the primary contact when issues arise outside United States working hours.
• Be proactive and demonstrate the ability to analyze issues, generate ideas, and initiate action while achieving results.
• Effectively manages multiple tasks / projects with close attention to detail and meets short turnarounds and deadlines.

Primary / Mandatory skills:

Overall – At least 8+ years of experience in Cyber Security focused on security / threat research, analysis, and investigation.

• Broad understanding of cyber security fundamentals and concepts
• Hands-on experience with networking protocols such as TCP, IPv4 / IPv6 and others
• Hands on experience in performing research, analysis and investigation using open source and proprietary tools
• Scripting experience (Python and Bash)
• Experience working in an environment where coordination with multiple teams is essential to success
• Ability to prioritize individual/group work in a high-activity and time-bound environment
• Flexible to provide coverage in US morning hours on a need-basis, and as required
• Strong written, verbal and presentation skills

Desirable skills:

• Industry certifications such as CEH, CISSP, SANS and/or other relevant certifications
• Bachelors or Masters in Computer Sciences Engineering
• Experienced in performing Data analysis with JSON
• Experience in Linux command line

Technical Skills:Threat research, analysis and investigation leveraging open source and proprietary tools, TCP, IPv4 / IPv6, Scripting - Python, Bash

Flexible to provide coverage in US morning hours on a need-basis, and as required.

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.