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python data engineer

McAfee

<div>
 
 Role Overview
 
 
 
 Designs, builds and oversees the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs.
 
 
 This is a Hybrid position based in Bangalore. You must be within a commutable distance from the location. You will be required to be onsite on an as-needed basis; when not working onsite, you will work remotely from your home location.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Design and implement ETL / ELT pipelines aligned with the bronze, silver, and gold layers of the medallion architecture. Integrate diverse data sources.
 </li>
 <li>
 Build data pipelines to support Analytic and meaningful Insight. Design low-latency, production-ready data pipelines to support real-time and batch model inference.
 </li>
 <li>
 Apply CI/CD principles for seamless pipeline deployment.
 </li>
 <li>
 Ensure pipelines comply with security and regulatory standards, particularly for handling PII, and maintain metadata and master data across the data catalogue.
 </li>
 <li>
 Work closely with Product Managers, Analytic team, Product Engineers and other stakeholders to align data transformation with business objectives.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 7 to 9 years in data engineering and strong experience in SQL and Python programming for building Data sets.
 </li>
 <li>
 Should have worked in AWS Databrick and familiar with Big Data ecosystem and various AWS services like S3, Delta Lake, Unity Catalogue familiar with GitHub CI/CD tool.
 </li>
 <li>
 Good to have AI tool experience like Genie and Claude Code, proven experience managing pipelines on Databricks using Apache Spark, with a strong understanding of the medallion architecture.
 </li>
 <li>
 Experience building pipelines for real-time and batch model serving in production environments and knowledge of CI/CD practices for ETL/ELT pipeline development.
 </li>
 <li>
 Expertise in metadata and master data management within technical data catalogues.
 </li>
 <li>
 Understanding data security and compliance, especially for sensitive data such as PII.
 
 
 </li>
 </ul>
 
 Hybrid
 
 
 
 
 Company Overview
 
 
 
 McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users&rsquo; needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
 
 
 
 Company Benefits And Perks
 
 
 
 We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We&rsquo;re proud to be Great Place to Work&reg; Certified in 10 countries, a reflection of the supportive, empowering environment we&rsquo;ve built where people feel seen, valued, and energized to reach their full potential and thrive.
 
 
 We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
 
 
 <ul>
 <li>
 Bonus Program
 </li>
 <li>
 Pension and Retirement Plans
 </li>
 <li>
 Medical, Dental and Vision Coverage
 </li>
 <li>
 Paid Time Off
 </li>
 <li>
 Paid Parental Leave
 </li>
 <li>
 Support for Community Involvement
 
 
 </li>
 </ul>
 We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
</div>

Python Data Engineer

HDFC Bank

<div>
 
 
 Job Purpose:
 
 
 
 An experienced AI/ML Engineer to design, develop and maintain AI / ML and GenAI based solutions on enterprise platform on Industry best and open-source models at scale along with governance and security frameworks
 
 
 
 
 
 
 Desired Skills :
 
 
 <ul>
 <li>
 Strong background in designing and implementing machine learning and deep learning algorithms and responsible AI practices at enterprise scale and speed
 </li>
 <li>
 Working knowledge with ML platforms like TensorFlow, PyTorch, or Hugging Face
 </li>
 <li>
 Proficiency in Training, Tuning and Deploying GenAI models based on LLMs, GANs, and VAEs
 </li>
 <li>
 Hands on expert in programming languages like Python, Java, or C++, and have experience with cloud platforms, containerization technologies (e.g., Docker, Kubernetes), and data pipeline tools (e.g., Apache Kafka, Spark)
 </li>
 <li>
 Experience working in cross-functional teams
 </li>
 <li>
 Strong analytical and problem solving skills
 </li>
 </ul>
</div>

AI/ML Engineer

Gruve

<div>
 
 About Gruve
 
 
 
 Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
 
 
 
 Position Summary
 
 
 
 We are looking for a talented Software Engineer experience in
 
 Python development
 
 and hands-on expertise in
 
 SQLite
 
 . You will be part of the core engineering team responsible for building and enhancing the tools and applications for cybersecurity policy management and migration across enterprise environments.
 
 
 The role requires strong backend development skills, an understanding of network/firewall configuration concepts, and a desire to build reliable and scalable migration solutions.
 
 
 
 Key Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Develop core backend modules using Python and SQLite / RDBMS / NoSQL for handling firewall configuration extraction, transformation, and loading.
 </li>
 <li>
 Implement plugin-based architecture to support various vendors.
 </li>
 <li>
 Design efficient SQLite schemas to store device configuration data and migration metadata.
 </li>
 <li>
 Work closely with the frontend team to build seamless and guided migration workflows.
 </li>
 <li>
 Participate in discussions related to product architecture and data models.
 </li>
 <li>
 Write reusable, testable, and efficient code following best practices.
 </li>
 <li>
 Collaborate in Agile teams and take ownership of deliverables within sprint timelines.
 </li>
 <li>
 Support troubleshooting, debugging, and performance tuning of application modules.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field.
 </li>
 <li>
 3-5 years of experience in backend development with Python.
 </li>
 <li>
 Strong knowledge of SQLite and relational database design.
 </li>
 <li>
 Experience building REST APIs and working with JSON data structures.
 </li>
 <li>
 Familiarity with software version control systems such as Git.
 </li>
 <li>
 Good understanding of basic networking and firewall configuration concepts.
 </li>
 <li>
 Ability to write clean, maintainable, and well-documented code.
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working with firewall platforms (Cisco ASA, Palo Alto, Fortinet) or in network/security domains.
 </li>
 <li>
 Exposure to plugin-based or modular software designs.
 </li>
 <li>
 Experience with Docker &amp; Cloud technologies will be added advantage.
 </li>
 <li>
 Familiarity with DevOps pipelines and CI/CD practices.
 </li>
 <li>
 Exposure to Agile/Scrum methodologies.
 
 
 </li>
 </ul>
 
 Why Gruve
 
 
 
 At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you&rsquo;re passionate about technology and eager to make an impact, we&rsquo;d love to hear from you.
 
 
 Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
</div>

Software Development Engineer -Python

Kuku FM

<div>
 
 About The Role
 
 
 
 We are looking for a detail-oriented Data Analyst to join our core AI/ML team. The ideal candidate will work closely with the AI/ML Lead, business teams, and other verticals to prepare high-quality datasets, generate insights, build basic statistical/heuristic models, and support ongoing ML initiatives. This role is perfect for someone who enjoys combining strong analytical skills with hands-on data work and business understanding.
 
 
 Key Responsibilities
 
 
 Data Preparation &amp; Analysis
 
 
 <ul>
 <li>
 Collect, clean, prepare, and structure data for ML training and analytical use cases.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, patterns, outliers, and data issues.
 </li>
 <li>
 Build and maintain dashboards, KPIs, and reports for product and business teams.
 
 
 </li>
 </ul>
 Support for ML Team
 
 
 <ul>
 <li>
 Work with the ML Lead to generate feature datasets, validate data assumptions, and evaluate model outputs.
 </li>
 <li>
 Build basic heuristic rules, logistic regression models, and preliminary statistical models when required.
 </li>
 <li>
 Conduct data validations, labeling assistance, and sampling for ML experiments.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Engage with business stakeholders, product managers, and operations teams to translate requirements into data deliverables.
 </li>
 <li>
 Communicate insights and findings in a clear, structured manner to technical and non-technical teams.
 </li>
 <li>
 Act as a central resource for data-driven decision-making across multiple verticals.
 
 
 </li>
 </ul>
 Data Quality, Governance &amp; Documentation
 
 
 <ul>
 <li>
 Ensure data accuracy, consistency, and completeness across datasets.
 </li>
 <li>
 Maintain clear documentation of data sources, definitions, and processes.
 </li>
 <li>
 Work with engineering teams to fix broken pipelines, incorrect metrics, or data anomalies.
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience as a Data Analyst, Business Analyst, or Associate Data Scientist.
 </li>
 <li>
 Strong hands-on skills in:
 </li>
 <ul>
 <li>
 SQL (advanced level)
 </li>
 <li>
 Python (Pandas, NumPy, basic scikit-learn)
 </li>
 <li>
 Excel/Google Sheets
 </li>
 </ul>
 <li>
 Experience with BI tools such as Superset
 </li>
 <li>
 Solid understanding of:
 </li>
 <ul>
 <li>
 Descriptive statistics
 </li>
 <li>
 Basic probabilistic models
 </li>
 <li>
 Logistic regression, clustering concepts
 </li>
 </ul>
 <li>
 Ability to work with large datasets and perform efficient data wrangling.
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Exposure to ML pipelines, feature engineering, or model evaluation basics.
 </li>
 <li>
 Familiarity with A/B testing, experiments, hypothesis testing.
 </li>
 <li>
 Experience with data warehousing tools (BigQuery, Databricks, Snowflake).
 </li>
 <li>
 Basic familiarity with heuristic-based decision systems or rule engines.
 </li>
 <li>
 Knowledge of scripting automation for recurring reports.
 </li>
 <li>
 Understanding of business domains like content, fintech, OTT, growth, or operations.
 
 
 </li>
 </ul>
 
 Preferred Tools &amp; Technologies
 
 
 
 Data Tools: SQL,Python, Pandas, NumPy
 
 
 Visualization: Tableau, Power BI, Looker
 
 
 ML Basics: Scikit-learn, Statsmodels
 
 
 Data Warehousing: BigQuery, Databricks, Athena
 
 
 Workflow: Airflow
 
 
 Version Control: Git
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Statistics, Engineering, Computer Science, Economics, or related fields.
 </li>
 <li>
 Certifications in data analysis, SQL, or ML fundamentals are a plus.
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to work closely with a high-performing AI/ML team.
 </li>
 <li>
 Opportunity to transition into a ML engineer based on skill set, learning curve and performance.
 </li>
 <li>
 Exposure to end-to-end ML lifecycle: data prep &rarr; experimentation &rarr; deployment.
 </li>
 <li>
 Work on diverse problem statements across multiple business verticals.
 </li>
 <li>
 Competitive compensation and benefits package.
 </li>
 <li>
 A collaborative and growth-driven environment.
 
 
 </li>
 </ul>
 Success Metrics
 
 
 <ul>
 <li>
 Delivery of clean, well-structured datasets for ML model development.
 </li>
 <li>
 Improved data quality, reduced errors, and reliable metric reporting.
 </li>
 <li>
 Clear, actionable insights delivered to business and product teams.
 </li>
 <li>
 Efficient support for ML workflows (feature generation, sampling, validation).
 </li>
 <li>
 Strong documentation and repeatable processes for analytics.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture, and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 
 📢 Ready to make an impact? Apply now!
 
 
 
 Skills: numpy,sql,airflow,pandas,bigquery,python,data analysis,advanced excel skills,tableau software,git,microsoft power bi,databricks
</div>

Data Analyst - AI & ML

Tide

<div>
 
 About Tide
 
 
 
 At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
 
 
 Tide is transforming the small business banking market with over 1.6 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to help SMEs save both time and money.
 
 
 
 Tide Facts
 
 
 
 <ul>
 <li>
 Tide is available for UK, Indian, German and French SMEs
 </li>
 <li>
 Over 1.6 million members: 800,000 UK and 800,000 in India and growing rapidly
 </li>
 <li>
 Over $200 million raised in funding
 </li>
 <li>
 Over 2500 Tideans globally - we&rsquo;re diversity champions!
 </li>
 <li>
 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, India
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a ML Engineer you&rsquo;ll be:
 
 
 <ul>
 <li>
 Working closely with product owners, other backend (Java &amp; Python) engineers, data scientist and other business members to translate requirements into well-engineered solutions
 </li>
 <li>
 Architect, design, test, implement, deploy, monitor and maintain end-to-end backend services. You build it, you own it mentality.
 </li>
 <li>
 Integrate already trained ML models in some of the services you develop.
 </li>
 <li>
 Work with people from other teams and departments on a day to day basis to ensure efficient project execution with a focus on delivering value to our members.
 </li>
 <li>
 Regularly aligning your team&rsquo;s vision and roadmap with the target architecture within your domain and to ensure the success of complex multi domain initiatives
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 You have 4+ years of experience as a Backend Python Engineer (Senior/Lead)
 </li>
 <li>
 You have understanding of software engineering fundamentals (OOP, SOLID, etc.)
 </li>
 <li>
 You have hands-on experience with frameworks such as Django, FastAPI or Flask
 </li>
 <li>
 You have extensive experience integrating with or creating REST APIs
 </li>
 <li>
 You have experience with creating and maintaining CI/CD pipelines - we use GitHub Actions.
 </li>
 <li>
 You have experience with event-driven architectures
 </li>
 <li>
 You have experience with AWS
 </li>
 <li>
 (Great to have) Experience with Databricks, ML feature store solutions, Kafka (or other message brokers)
 
 
 </li>
 </ul>
 OUR TECH STACK
 
 (You don&rsquo;t have to excel in all, but willing to learn them):
 
 
 
 <ul>
 <li>
 Databricks on AWS
 </li>
 <li>
 Python Flask
 </li>
 <li>
 Snowflake
 </li>
 <li>
 Tecton - feature store
 </li>
 <li>
 Fiddler - model observability platform
 
 
 </li>
 </ul>
 
 What You Will Get In Return
 
 
 
 <ul>
 <li>
 Self &amp; Family Health Insurance
 </li>
 <li>
 Term &amp; Life Insurance
 </li>
 <li>
 OPD Benefits
 </li>
 <li>
 Mental wellbeing through Plumm
 </li>
 <li>
 Learning &amp; Development Budget
 </li>
 <li>
 WFH Setup allowance
 </li>
 <li>
 15 days of Privilege leaves
 </li>
 <li>
 12 days of Casual leaves
 </li>
 <li>
 12 days of Sick leaves
 </li>
 <li>
 3 paid days off for volunteering or L&amp;D activities
 </li>
 <li>
 Stock Options
 
 
 </li>
 </ul>
 
 Tidean Ways Of Working
 
 
 
 At Tide, we champion a
 
 flexible workplace
 
 model that supports both in-person and remote work to cater to the specific needs of our different teams.
 
 
 While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
 
 
 TIDE IS A PLACE FOR EVERYONE
 
 
 At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members&rsquo; diverse needs and lives.
 
 
 We are One Team and foster a transparent and inclusive environment, where everyone&rsquo;s voice is heard.
 
 
 
 At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone&rsquo;s voice is heard.
 
 
 
 
 Disclaimer
 
 
 
 It Has Come To Our Attention That Individuals Or Agencies Are Falsely Claiming To Represent Tide And Are Reaching Out To Candidates Regarding Job Opportunities. Please Be Aware That
 
 
 <ul>
 <li>
 Tide does not charge any fees at any stage of the recruitment process.
 </li>
 <li>
 All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
 </li>
 <li>
 Communication from Tide will only come from an official @tide.co email address.
 </li>
 <li>
 Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
 
 
 </li>
 </ul>
 
 If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
 
 
 Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
 
 
 
 
 
 Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
 
 
 
 
 
 
 Your personal data will be processed by Tide for recruitment purposes and in accordance with
 
 
 Tide's Recruitment Privacy Notice
 
 
 .
 
 
 
 
</div>

Senior Engineer, Python (Data & AI)

Circana

<div>
 
 BI Engineer/ Data Analyst
 
 
 
 
 Let&rsquo;s be unstoppable together!
 
 
 
 At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment to diversity, equity, and inclusion as we believe in the undeniable strength that diversity brings to our business, employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified&trade; by Great Place To Work&reg;. This prestigious award is based entirely on what current employees say about their experience working at Circana.
 
 
 
 What will you be doing?
 
 
 
 The BI Engineer II will be collaborating with team members to create rich reporting and data visualizations, enabling leaders to quickly digest information and make decisions. You will use your understanding of data visualization, analytics, and statistics to communicate valuable insights that enable functional leaders to quickly digest information and make decisions.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Utilize the business intelligence enterprise development suite to create, maintain and publish reports, dashboards, scorecards, and other visual information displays through front end interfaces as well as through application and database programming.
 </li>
 <li>
 Collaborate with team members to understand business insight needs from clients, product teams, and other commercially facing business units, and how those needs translate to functional requirements.
 </li>
 <li>
 Write stable, abstracted, reusable, and efficient code.
 </li>
 <li>
 Design and utilize automation methods and discover efficiencies where possible.
 </li>
 <li>
 Work with managers to identify and understand data visibility gaps.
 </li>
 <li>
 Provide content to our dataviz knowledge base.
 </li>
 <li>
 Proactively develop and maintain technical knowledge in BI, Reporting, and Visualizations.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience in the data/BI space.
 </li>
 <li>
 Degree or equal work experience in Computer/Data Science, Technology and/or other related fields; advanced degrees and/or specializations a plus.
 </li>
 <li>
 Experience in one or more business intelligence technologies, with the ability to visualize and report data insights clearly.
 </li>
 <li>
 Thrives in a diverse team. Collaborates well with team members, colleagues, and clients.
 </li>
 <li>
 Passion for data and its fundamental ability to create value.
 </li>
 <li>
 Good communicator able to articulate concepts to peers, clients, and managers.
 </li>
 <li>
 Continuous learner, expanding current skillset as well as new technologies identified by the business.
 </li>
 <li>
 Proven development skills in Business Intelligence tools, including, but not limited to, PowerBI, MicroStrategy, and Tableau. Experience in Circana tools Unify+, Genius Script, and Intelligence Suite preferred.
 </li>
 <li>
 Demonstrated experience building measures and metrics, defining custom dimensions and tuning performance for a superior user experience.
 </li>
 <li>
 Experience in Power Platform including Power Apps and Power Automate.
 </li>
 <li>
 Fluent in SQL, Pyspark, R, Python, or Scala.
 </li>
 <li>
 Experience in agile development teams such as scrum and Kanban, as well as DevOps development environment.
 </li>
 <li>
 Understanding of database structure principles required.
 </li>
 <li>
 Preferred experience Javascript and/or CSS experience.
 
 
 </li>
 </ul>
 
 Circana Behaviors
 
 
 
 As well as the technical skills, experience and attributes that are required for the role, our shared behaviors sit at the core of our organization. Therefore, we always look for people who can continuously champion these behaviors throughout the business within their day-to-day role:
 
 
 <ul>
 <li>
 Stay Curious: Being hungry to learn and grow, always asking the big questions.
 </li>
 <li>
 Seek Clarity: Embracing complexity to create clarity and inspire action.
 </li>
 <li>
 Own the Outcome: Being accountable for decisions and taking ownership of our choices.
 </li>
 <li>
 Center on the Client: Relentlessly adding value for our customers.
 </li>
 <li>
 Be a Challenger: Never complacent, always striving for continuous improvement.
 </li>
 <li>
 Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
 </li>
 <li>
 Commit to each other: Contributing to making Circana a great place to work for everyone.
 
 
 </li>
 </ul>
 
 Location
 
 
 
 This position can be located in the following area(s): Bangalore
 
 
 &ldquo;An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission&rdquo;
</div>

Data Analyst

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience programming in Java, C++, Python, C# or Go.
 </li>
 <li>
 2 years of experience programming in JavaScript or TypeScript.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical field.
 </li>
 <li>
 2 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS, etc.
 </li>
 <li>
 2 years of experience with data structures or algorithms in either an academic or industry setting.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 The AI and Infrastructure team works on the world&rsquo;s toughest problems, redefining what&rsquo;s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We&rsquo;re at the center of amazing work at Google by being the &ldquo;flywheel&rdquo; that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.
 
 
 In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, Full Stack, Google Cloud

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