Petras solutions

As a DBA Director, you will co-lead our global DBA teams specializing in operational support of such platforms as Oracle, MSSQL, Postgres, MongoDB, Snowflake, and Databricks. As a critical requirement of this position, you will partner across all business units to assist with functional design, validation, and deployment of database solutions and technologies. The DBA Director will also partner closely with the other pillars of the IT organization to create secure automation of manual processes while also ensuring better stability and scalability of our backend database systems and associated processes. This role requires an experienced technically minded leader that is looking to evolve and improve internal teams through continuous skill-building and facilitating camaraderie. This role requires deep technical knowledge of database technologies, processes, as well as knowledge and awareness of DB platforms leveraged by critical systems. The person will report to the Vice President of Enterprise Tools and Middleware.

Responsibilties

• Assist with management of teams consisting of technology professionals who engineer and globally support data services and platforms.
• Participate in continuous improvement and promote team evolution and direction.
• Partner with VP of Enterprise Tools and Middleware to formulate planning and execution designed to create better automation, stability, and enhanced performance of our database platforms.
• Collaborate on a budgetary level by ensuring the organization meets all budget goals in the areas of payrolls and licensing spend.
• Facilitate and create an escalation point for high-severity tickets.
• Create and ensure 24/7 on-call rotations within teams.
• Collaborate with operational stakeholders, including defining requirements, suggesting alternatives, and setting priorities with the team.
• Provide strategic thought leadership and technical guidance across the IT organization support team.
• Be a trusted advisor in both technical and functional areas.
• Build relationships and partner with business stakeholders to understand departmental needs.

Qualifications

• Experienced professional with over 15 years of applicable database support and engineering experience.
• Track record of successfully leading global multi-team organizations.
• Verifiable people management and team building experience.
• Manage and prioritize team leaders as well as team workloads to deliver on committed projects, initiatives, and tickets.
• Demonstrated understanding of ITIL and ITSM; ITSM methodology pertaining to managing incidents, change requirements, and overall reducing risk.
• Proven experience and ability to proactively solve problems and implement solutions to continuously improve.
• Ability to recruit, train and retain high quality talent.
• Proven track record of building strong relationships.
• Experience deploying, optimizing, and supporting DBA processes and platforms.
• Carries a value-driven focus for continual improvement.

Job Description

Our Media Measurement team uses state-of-the-art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Our clients can evaluate who is consuming which content across different media, platforms and devices, and know what the audience thinks about that content. As people consume media content on more channels, and through more devices, than ever before, we are proud to provide a full view on media consumption.

As Data Scientist you will have following main accountabilities: 

• You own together with your team several of our Data Science solutions throughout the full life cycle (brainstorming, design, implementation, productization and maintenance) 
• You develop solutions based on data science, stats and machine learning models 
• You improve methods and tools. Contribute to our communities of practice in the area of Data Science 
• Communicate with non-data scientists in Tech, Operations, Commercial, Product. Understand the domain and the requirements. Explain Data Science principles, concepts, algorithms, and approaches in simple words to different types of audiences 
• Make data your best friends. Understand their strengths and use them. Be aware of their weaknesses and handle those in your solutions 
• Screen the market for potential new Data Science approaches 
• Foster knowledge exchange within the company. Present GfK's Data Science expertise at conferences and workshops 

Qualifications

Now you know what a Data Scientist does. What skills, qualifications & experience do you need for this job? 

• You typically have a Master's degree or PhD that reflects modeling and statistics skills and 6+ years of experience. 
• You enjoy communicating complex methodology and technology to tech and non tech audiences 
• You have expert statistical / machine learning modeling skills (e.g. statistical tests, classification, predictive modelling, handling of missing data, sampling, weighting) 
• You have experience with an analytical programming language (Python) and the respective ecosystem 

Besides the things we really expect you to have, there are some things which would be amazing if you have experience with them: 

• Knowledge of cloud computing environments and tooling (especially AWS) 
• Advanced software development skills (unit testing, CI/CD, Git) 
• Basic skills regarding database handling as SQL 
• Basic knowledge of the always evolving Data Science ecosystem and its frameworks 

Additional Information

• Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. 
• Recharge and revitalize with help of wellness plans made for you and your family. 
• Plan your future with financial wellness tools. 
• Stay relevant and upskill yourself with career development opportunities. 

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

What you’ll do?

Partnering with internal business owners (product, marketing, edit, etc.) to understand needs anddevelop custom analysis to optimize for user engagement and retention.

Good understanding of the underlying business and workings of cross functional teams for successful execution.

Design and develop analyses based on business requirement needs and challenges.

Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.

Providing statistical analysis on custom research projects and consult on A/B testing and otherstatistical analysis as needed.

Other reports and custom analysis as required.

Identify and use appropriate investigative and analytical technologies to interpret and verify results.

Apply and learn a wide variety of tools and languages to achieve results.

Use best practices to develop statistical and/ or machine learning techniques to build models thataddress business needs.

Collaborate with the team in order to improve the effectiveness of business decisions throughthe use of data and machine learning/predictive modeling.

Innovate on projects by using new modeling techniques or tools.

Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept. C

ommunicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Who you need to be?

Typically has 2 - 6 years of relevant experience.

Preferred education: Bachelor's degree in a technical field or equivalent experience Experience in advanced analytics, model building, statistical modeling, optimization, and machinelearning algorithms.

Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection.

Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.

Strong with programming languages like Python and data processing using SQL or equivalent andability to experiment with newer open-source tools.

Experience in normalizing data to ensure it is homogeneous and consistently formatted to enablesorting, query and analysis.

Experience designing, developing, implementing and maintaining a database and programs tomanage data analysis efforts.

Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)

Experience in risk and credit score domains preferred.

Job location  Chennai/Bangalore (work from office-Hybrid)

8+ years of experience in brand design, marketing design, or creative direction.

Strong portfolio showcasing branding, marketing campaigns, and motion/video work.

Proficiency in Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro) and Canva.

Strong understanding of visual storytelling, layout, hierarchy, and brand systems.

Ability to manage multiple projects in a fast-paced environment. Experience mentoring designers or collaborating with creative teams.

AI fluency and prompt engineering skills are highly valued.

High advantage if you have hands-on experience in handling Nana Banana 2/Midjourney v7/ GPT image 1.5 UX knowledge is a plus

Required Qualifications:

• OOPS - In-depth understanding of Object Oriented Programming principles

• Solid - In-depth knowledge and practical knowledge of applying SOLID design principles

• Architectural Patterns - In-depth understanding of design patterns and have experience in designing and building complex architecture solutions

• React + Typescript - Extensive hands-on experience in React + Typescript, building high-performance complex frontends

• Unit testing - Ability to write Unit Testing using Jest framework

• Dotnet core webapi - Extensive hands-on experience in writing WebAPIs using dotnet core. Should have advanced knowledge on middlewares, auth flow, etc.

• C# - Solid knowledge on advanced C# language features like Lambda functions, Generics, etc.

• Entity Framework - Solid knowledge on Entity framework database first and code first approach

• Unit testing - Ability to write Unit Testing using popular mock frameworks and XUnit framework

• SQL - Advanced - Extensive hands-on experience in Microsoft SQL (DDL, DML, Aggregates, Functions, Stored proc, etc)

• Query Performance Tuning - Ability to understand query plans and tune compelx queries to improve performance

• Core services - Advanced knowledge and hands-on in building applications hosted in AWS using ECS containers, API Gateway, Lambda, Postgres/DynamoDb

• IAC - Hands-on experience in writing Teraform Scripting - CI/CD, Github pipelines