KPI|72+ | IN|Laterals|Lead Consultant|Data Engineer

Job responsibilities You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problemsYou will partner with teammates to create complex data processing pipelines in order to solve our clients' most ambitious challengesYou will collaborate with Data Scientists in order to design scalable implementations of their modelsYou will pair to write clean and iterative code based on TDDLeverage various continuous delivery practices to deploy, support and operate data pipelinesAdvise and educate clients on how to use different distributed storage and computing technologies from the plethora of options availableDevelop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutionsCreate data models and speak to the tradeoffs of different modeling approachesOn other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new productSeamlessly incorporate data quality into your day-to-day work as well as into the delivery processAssure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes Job qualifications Technical skills You are equally happy coding and leading a team to implement a solutionYou have a track record of innovation and expertise in Data EngineeringYou're passionate about craftsmanship and have applied your expertise across a range of industries and organizationsYou have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and HadoopYou have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production settingHands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributionsYou are comfortable taking data-driven approaches and applying data security strategy to solve business problemsYou're genuinely excited about data infrastructure and operations with a familiarity working in cloud environmentsWorking with data excites you: you have created Big data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems Professional skills Advocate your data engineering expertise to the broader tech community outside of Thoughtworks, speaking at conferences and acting as a mentor for more junior-level data engineersYou're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectivesAn interest in coaching others, sharing your experience and knowledge with teammatesYou enjoy influencing others and always advocate for technical excellence while being open to change when needed Other things to know L&D; There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. Job DetailsCountry: IndiaCity: GurgaonDate Posted: 10-06-2026Industry: Information TechnologyEmployment Type: Regular