Lead Data Engineer

Job highlights

• Hands-on experience with GCP & AWS,including its data processing and analytics services (Pubsub,Dataflow,Bigquery,Cloud functions,Cloud run,Bigtable,Glue,Redshift,S3,SQS etc) Strong proficiency in integrating data from diverse sources using API s. Advanced knowledge of SQL,Python,and Bash scripting is essential

Company description Digitas is the global Marketing & Technology Services brand and part of the Publicis Groupe. Digitas Connected Marketing Agency proposition is based on the principle that there are better ways for brands to connect with people and people with each other. Leveraging comprehensive data, technology, creative, media and strategy capabilities and a proprietary planning process called North, Digitas delivers ambitious outcomes via connected practices that include Creative + Media Campaigns, Brand Experiences, CRM & Loyalty and Marketing Transformation. A Gartner Magic Quadrant Global Marketing Agency Leader for five consecutive years, Digitas serves the world s leading brands through a global network comprised of more than 4,000 employees across over 30 countries and 50 offices. For more information visit www.digitas.com, where everything connects. https://linktr.ee/digitas\_india Overview Key Responsibilities: Design and implement robust, scalable data engineering pipelines within GCP, tailored for web analytics. Integrate a variety of marketing & enterprise data sources, including AWS Aurora , SAP and Salesforce ensuring seamless data flow and accessibility. Execute at least 1-2 end-to-end data engineering projects, from conceptualization to deployment, demonstrating project management and technical prowess. Employ advanced SQL, Python, and Bash scripting to optimize data processing, analysis, and automation tasks. Collaborate with cross-functional teams to identify data needs, design solutions, and enhance data-driven decision-making capabilities. Maintain and ensure the integrity and reliability of data pipelines, implementing best practices in data security and compliance. Qualifications: Bachelors/ Masters in computer/allied stem engineering fields with relevant 4-6 years of proven experience as a Data Engineer, with a focus on web analytics data engineering pipelines. Hands-on experience with GCP & AWS , including its data processing and analytics services (Pubsub , Dataflow, Bigquery , Cloud functions , Cloud run , Bigtable , Glue , Redshift , S3 , SQS etc) Strong proficiency in integrating data from diverse sources using API s. Advanced knowledge of SQL, Python, and Bash scripting is essential. Demonstrated ability to execute end-to-end projects, showcasing effective project management and technical skills. Excellent problem-solving abilities, with a keen eye for detail and a commitment to high-quality outcomes. Strong communication skills, with the ability to convey complex technical concepts in a clear, concise manner. Qualifications BS in Mathematics, Statistics, Computer Science, Engineering, Data Science, Analytics, or related field (Preferred)