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Job Description We are seeking an experienced and hands-on Data Engineering Lead to lead the design, development, and optimization of the data infrastructure and pipelines In this role, you will build robust, scalable, and secure data solutions and data products while working with a team, The ideal candidate combines deep technical hands-on knowledge with strong leadership skills and a passion for building high-performance data flows, Key Responsibilities Lead the architecture, development, and maintenance of data pipelines, data lakes, and data warehouse solutions, Collaborate with stakeholders to understand data needs and translate business requirements into technical solutions, Drive best practices in data modelling, ETL/ELT development, and data quality assurance, Ensure high availability, reliability, and performance of data systems, Own and enforce data governance, security, and compliance standards across data platforms, Collaborate with DevOps and platform teams to support CI/CD pipelines and infrastructure automation for data solutions, Evaluate and recommend new tools, technologies, and frameworks that improve data delivery and analytics capabilities, Monitor system performance, usage metrics, and proactively resolve data-related issues, Requirements Experience: 8+ years of experience in data engineering, Proven experience testing large-scale data platforms and cloud-based data systems, Hands-on experience with big data and distributed systems (e-g , Spark, Hadoop, Kafka), Proven track record of building and scaling data pipelines in cloud environments, Expertise in SQL, Python, and one or more data orchestration tools (e-g , Airflow, dbt), Building data flows in Snowflake Skills Strong understanding of data warehousing concepts (e-g , dimensional modelling, star/snowflake schema), Proficiency with modern data platforms, Familiarity with containerization and orchestration tools (Docker, Kubernetes), Excellent problem-solving, analytical, and communication skills, Ability to manage competing priorities and drive cross-functional initiatives, Preferred Qualifications Experience in batch and real time streaming data platforms, Experience with DevOps practices and CI/CD pipelines for data systems, Familiarity with data governance, lineage, and metadata management tools

About Swiggy Swiggy is Indias leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India, From starting out as a hyperlocal food delivery service in 2014, to becoming Indias leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees, Responsibilities Develop and manage views for different business metrics : dashboards, scorecards, Coordinate with MIS and analytics for data gathering using SQL/excel and ensuring data sanity for day-to-day reporting, Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed, Conduct regular planning and reviews key performance metrics and aid in benefitting from change, Identify the right metrics to track progress against a given business goal Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms, Work with cross functional teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness, Desired Skills A bachelors degree in engineering/business/related field 2+ years of experience in Analytics Excellent planning, organizational, and time management skills Strong problem solving & ability to work in ambiguous environments with high ownership Proficiency in SQL, Python, Power BI & Excel, Strong drive to move fast and break barriers, We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protected by the law,

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree, Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, Experience with developing machine learning models (supervised and unsupervised), Launch Experiments (A/B Testing), end-to-end Data infrastructure and Analytics pipelines, Experience with classification and regression, prediction and inferential tasks, training/validation criteria for machine learning algorithm performance, Experience in identifying opportunities for business/product improvement and defining the initiatives, Experience in developing new models, methods, analysis and approaches, About The Job Help serve Google's worldwide user base of more than a billion people Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions You will weave stories with meaningful insight from data You'll make critical recommendations for your fellow Googlers in Engineering and Product Management You relish tallying up the numbers one minute and communicating your findings to a team leader the next, Responsibilities Partner with Play/Apps Product Managers, Engineering, UX and other Play teams to understand user behaviors, design and analyze experiments and drive product insights to improve user experiences, Act as a thought partner to produce insights and metrics for various technical and business stakeholders across the Play/Apps team, Deliver presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information, Follow engineering best practice to create data pipelines and models, Develop and automate reports, build and prototype dashboards to provide insights for problem-solving needs, 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 ,