Job Description

Role description

Senior Data Engineer



Key responsibilities



Lead the design and development of new Data Analytics solutions in various parts of the product modernize existing system components by redesigning them according to the new architecture paradigm Integrate developed solutions with other components of the system. Working closely with the Architecture team to influence new technologies choice ensure the nonfunctional requirements ex stability scalability and performance of services and applications are met Mentor and guide other team members in best practices and technical decisions. Being a part of a scrum team collaborating with other crossfunctional teams to identify and solve complex technical problems. Understand business domain customers needs and business use cases



We expect overall working experience in Data Engineering 5 years



Strong knowledge of Python Apache Spark and Airflow with a minimum of 3 years of practical experience



Solid understanding of SQL



Strong experience with relational and nonrelational databases



Solid understanding of data models and data pipeline design batch and realtime



Strong Experience developing solutions in a Cloud environment



Strong understanding of DevOps methodologies



Working experience in an Agile environment



A natural interest in modern data processing technologies and the ability to learn new things, Passion to get into the development process quickly and deliver goodquality code



English level at B2 or higher



Nice to have



Experience with Snowflake



Understanding of distributed architecture features and challenges



Experience working in a containerized environment Docker Kubernetes



Experience in implementing projects solutions using GCP Stack Dataproc Composer



GCS



Knowledge of realtime streaming platforms Kafka RabbitMQ and etc



Have experience with AI machine learning statistical tools

Skills

Mandatory Skills :

GCP Storage,GCP BigQuery,GCP DataProc,GCP Cloud Composer,GCP DMS,Apache airflow,Java,Python,Scala,GCP Datastream,Google Analytics Hub,GCP Workflows,GCP Dataform,GCP Datafusion,GCP Pub/Sub,ANSI-SQL,GCP Dataflow,GCP Data Flow,GCP Cloud Pub/Sub,Big Data Hadoop Ecosystem

About LTIMindtree

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 83,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree -- a Larsen & Toubro Group company -- solves the most complex business challenges and delivers transformation at scale. For more information, please visit https://www.ltimindtree.com/. Please also note that neither LTIMindtree 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 LTIMindtree for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTIMindtree disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/