Lead Data Engineering

7 years

0 Lacs

Hyderabad, Telangana, India

Posted:4 days ago| Platform: Linkedin logo

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Skills Required

data engineering technology aws azure gcp sql nosql python programming design development deployment architecture pipeline optimization zones integration layers scala java redshift etl database relational coding testing strategies agile devops github management leadership

Work Mode

On-site

Job Type

Full Time

Job Description

About Company provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes Experience: 7 to 10 Years Qualifications Must Have: Experience in handling team members Proficiency in working with cloud platforms (AWS, Azure, GCP) Experience in SQL, NoSQL, and Data Modelling Experience in Python programming Experience in Design, Development, and Deployment of Data Architecture Experience 8+ years of experience in data engineering with hands-on expertise in data pipeline development, architecture, and system optimization Demonstrated success in managing global teams, especially across US and India time zones. Proven track record in leading data engineering teams and managing end-to-end project delivery. Strong background in data warehousing and familiarity with tools such as Matillion, dbt, Striim, etc. Hands-on experience of 2+ years in designing and developing data integration solutions using Matillion and/or dbt Expertise in architecting data solutions. Successfully implemented at least two end-to-end projects with multiple transformation layers. Technical Skills Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs Expertise in programming languages such as Python, Scala, or Java. Proficiency in designing and delivering data pipelines in Cloud Data Warehouses (e.g., Snowflake, Redshift), using various ETL/ELT tools such as Matillion, dbt, Striim, etc. Solid understanding of database systems (relational and NoSQL) and data modeling techniques. Strong knowledge of data engineering and integration frameworks. Good grasp of coding standards, with the ability to define standards and testing strategies for projects. Proficiency in working with cloud platforms (AWS, Azure, GCP) and associated data services. Enthusiastic about working in Agile methodology. Possess a comprehensive understanding of the DevOps process including GitHub integration and CI/CD pipelines. Skills: integration,agile methodology,etl/elt tools (matillion, dbt, striim),ci/cd,data modeling,aws,ci/cd pipelines,data modelling,github,cloud platforms (aws, azure, gcp),data warehousing,striim,team management,data architecture design,data pipeline development,architecture,database systems,etl/elt tools,devops,scala,nosql,matillion,python,team leadership,data architecture design and development,data engineering,sql,redshift,data integration,dbt,java,pipelines,snowflake,devops processes,python programming,azure Show more Show less

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