senior data engineer resume

To support the business community and team by providing subject matter expertise, guidance and training. A well written objective statement sets the direction of the reader. Recommends development options to the broader team and approves the team's deliverables. Responds to and resolves technical issues in a timely manner. © 2020, Bold Limited. - Working as Site engineer in FGH Group from 2010- Presently. Advanced ability in computer programming for statistical processes. Academia- - B.Tech in civil Engineering from FGH University in the year 2008 with 74.0% - Intermediate from GHN Higher Secondary School in the year 2003, with 61% As new standards are instituted, ensures their usage by team members, To further the objectives of the JA Team, the department and Vanguard as a whole. Develop tools/processes to monitor the quality of data at the ongoing base. In order to ensure your professional resume will support your goals, use this senior software engineer job description to inform what you should highlight on your resume. 10 years of professional IT experience in Data Warehousing, ETL (Extract, Transform, and Load) and Data Analytics. Senior Engineering Manager August 2012 to Current Cisco Systems, Inc San Jose, CA Lead a team of 18 software development engineers from end-to-end development of new key Cisco products, VxLan and OTV, Layer 2 Overlay technologies. How to describe the responsibilities of a Data Engineer on your resume: Expounding on your rules and responsibilities is key to your resume. This candidate is a Senior Data Engineer. Organize and participate in various committees and teams to consult with program heads and administrative officials on policy and needs, Identifies process flows and quality assurance/control measures to monitor and control schedule, scope and budget as defined by the project, Performs other related duties as assigned such as providing database expertise to less experienced staff, Possess a thorough knowledge of position/industry requirements and able to perform position in compliance with all requirements/regulations/laws. Senior Data Engineer, 04/2015 to Current Visa Inc – Denver, CO. Strong Knowledge of Functional Risk Assessments. Participate in strategic & tactical planning discussions, including annual budget processes, Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience, 3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and 7-10 years professional experience, Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports, Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets, Experience with large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies, Proven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams, Administer on premise and cloud based Hadoop clusters, Assist in selection and integration of big data tools/frameworks required to provide requested capabilities, Build, implement and support the data infrastructure; ingest and transform data (ETL/ELT process), May supervisor team projects and serves as a liaison with the PMO, Two years of experience architecting, building and administering large-scale distributed applications using Hadoop and/or Linux systems, Experience with building a data lake or transitioning from data swamp to data lake, Comfortable presenting and whiteboarding Big Data Solutions to executive leaders and stakeholders, Exposure to cloud products such as AWS or Azure, Explores existing data for insights, recommends additional sources of data for improvements and applications of the data (UI, search, etc…), Can identify risks, plan mitigation, and able to carry out plans, Bachelors Degree in an engineering or technical field, 5+ years experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools, Strong knowledge of various data warehousing methodologies and data modeling concepts. Cassandra, HBASE, MongoDB), SQL-based technologies (e.g. Resolves technical problems discovered by testers and internal clients. Mentors IT staff and identifies training needs. SCRUM), Strong design and coding skills (e.g. It proves your ability to deliver optimal user experience with today’s technology. Good Data Analyst Resume Summary. Senior Data Engineer Resume Austin, Texas. The Data Engineer will also be required to draft regular performance and progress reports and prepare presentation for senior data engineering management and senior data science leadership, reports that have to be clear, concise, engaging, and convincing, which will require exceptional communication skills to deliver. This includes providing proper documentation and generating data features required for modelling, reporting and adhoc analysis, Collaborate with GRM Analytics key stakeholders and partners to define data engineering, data visualization and technical training best-practices for Rapid Labs, Maintain a good understanding of the Bank's business strategies, business policies, risk management and IT processes and disciplines. Apply to Data Engineer, Scheduler, Virtualization Engineer and more! Completes complex development, design, implementation, architecture design specification, and maintenance activities, Maintains current knowledge of JA methodology, architecture design, and technical standards. Of the three types of resumes, the one you choose should be based on your work history, work experience, skills, and qualifications. ), Intermediate programming and computation skills, preferably with Perl, Python Java, BASH/Shell Scripting and/or C/C++, Direct experience working on a large scale data warehouse or Hadoop platform, Enthusiastic, self-starter with a charismatic personality, A strong foundation in database systems (SQL and/or non-relational), A strong background in statistical foundations on experimental or observational data, Experience with tools and technologies we’re using: Kafka, Spark, Parquet, PrestoDB, Hive, Airflow, Re:dash (or similar), Working knowledge of web development technologies: HTML, Javascript, CSS, HTTP, A strong background in Augmented Reality and Virtual Reality, Extensive expertise in structured and unstructured data investigation, mapping and integration, Experience with common web libraries such as JQuery, LESS, Functional Javascript , CSS and HTML, Familiarity with modern visualization frameworks, such as Gephi, Processing, R and/or d3js, Understanding of efficient and effective Human Computer Interaction, Sharp analytical abilities and proven design skills, A strong understanding of typography and how it can affect visualizations as well as layout, space and an inherent feel for motion, 5+ years of hands-on experience in business intelligence or IT management role in corporate or consulting setting, Strong development background with experience in at least two scripting, object oriented or functional programming languages: SQL, Python, Java, Scala, C#, R, Client stakeholder engagement and management, Experience leading a work stream and managing small teams on Agile projects, Data Warehousing experience, building operational ETL / ELT pipelines comprised of several sources, and architecting Data Models/Layers for Analytics, Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets, Experience in multiple Database technologies: Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Oracle Exadata, Teradata, IBM Netezza), Distributed Processing (Spark, Hadoop, EMR), NoSQL (MongoDB, DynamoDB, Cassandra, Vertica, Neo4J, Titan), Experience developing solutions in Cloud platforms: Amazon Web Services, Microsoft Azure, Google Cloud Platform, Experience generating Insights in the form of reports, KPIs, dashboards or ad-hoc queries; experience with Tableau is a bonus, Ability to thrive in a lively project and consulting setting, often working on different and multiple projects at the same time, Excellent interpersonal skills when interacting with clients, both verbally, email, written, and in a clear, timely, and professional manner, Problem solving and brainstorming solutions to data integration and Analytics challenges, Passion for developing your knowledge and skills in both the technical aspects of the Data Technology industry, and your personal and professional development in work and life, Supports various data and batch/realtime analytical solutions leveraging transformational technologies, Works on multiple initiatives as a technical team member or lead driving user story analysis and elaboration, design and development of software applications, testing, and builds automation tools, Translates business requirements into system requirements and participates in creating strategies that use machine learning and data platforms, Works with the D&E team members to design and implement data solutions in alignment with the project schedule, Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics, Creates data flow diagrams for all of business systems and Implements security and recovery tools and techniques as required, Builds automation tools and ensures all automated processes preserve data by managing the alignment of data availability and integration processes, Creates a data catalog and Interprets data results to business outcomes and participates in developing standards and processes for integration initiatives, Conducts logical and physical database design, designs key and indexing schemes and designs partitioning, Develops, tests, implements, and maintains database management applications, constructs and implements operational data stores and data marts, Adheres to data management standards, policies and procedures and interfaces with business community and provides ongoing status, Data engineering, data science experience or software engineering, Experience with agile or other rapid application development methods, Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures, Understands how algorithms work and have experience building algorithms, Significant knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases, Strong experience working hands-on with big data systems and experience with monitoring, backup, and disaster recovery of data systems, Strong knowledge in different programming or scripting languages, Experience with database management systems (DBMS), Oracle, MSSQL, MySQL, Background in data reporting solutions and visualization techniques using, Business Objects, Tableau, etc, Experience with big data architecture platforms and technologies (Spark, Hadoop, Kafka, etc.)

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