**Role description** Location\- Bangalore We are looking for a Data Engineer to join our team and help us to improve the platform that supports one of the best experimentation tools in the world The selected candidate will work side by side with other data engineers and site reliability engineers to improve the reliability scalability maintenance and operations of all the data products that are part of the experimentation tool Day to day work includes but is not limited to maintenance and operations of data pipelines and products that handles data at big scale the development of capabilities for monitoring ing testing and troubleshooting of the data ecosystem of the experiment platform and the delivery of data products that produce metrics for experimentation at scale The selected candidate will collaborate with colleagues in Amsterdam to achieve results the right way This will include engineering managers product managers engineers and data scientists Key Responsibilities and Duties Take ownership of multiple data pipelines and products and provide innovative solutions to reduce the operational workload required to maintain them Rapidly developing nextgeneration scalable flexible and highperformance data pipelines Contribute to the development of data platform capabilities such as testing monitoring debugging and ing to improve the development environment of data products Solve issues with data and data pipelines prioritizing based on customer impact Endtoend ownership of data quality in complex datasets and data pipelines Experiment with new tools and technologies driving innovative engineering solutions to meet business requirements regarding performance scaling and data quality Provide selforganizing tools that help the analytics community discover data assess quality explore usage and find peers with relevant expertise Serve as the main point of contact for technical and business stakeholders regarding data engineering issues such as pipeline failures and data quality concerns The job requirements Minimum 5 years of handson experience in data engineering as a **Data Engineer** or as a Software Engineer developing data pipelines and products Bachelors degree in Computer Science Computer or Electrical Engineering Mathematics or a related field or 5 years of progressively responsible experience in the specialty as equivalent Solid experience in at least one programming language We use **Java and Python** Experience building production data pipelines in the cloud setting up datalakes and serverless solutions Handson experience with schema design and data modeling Experience designing systems E2E and knowledge of basic concepts lb db caching NoSQL etc Knowledge of Flink CDC Kafka Airflow Spark Snowflake DBT or equivalent tools Practical experience building data platform capabilities like testing ing monitoring debugging security Experience working with big data Experience working with teams located in different timezones is a plus Experience with experimentation statistics and AB testing is a plus **Skills** **Mandatory Skills :** Snowflake **About LTM** LTM is an AI\-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen \& Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert \- https://www.ltm.com/careers/recruitment\-fraud\-alert