Data Platform Engineer

Accenture

2 - 5 years

Bengaluru

Posted: 9/9/2024

Job Description

Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Microsoft Azure Modern Data Platform
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Job description As a Senior Data engineer, you will collaborate with business, reporting, and other teams to understand business requirements and perform data analysis. Get involved and Lead in project transitions from different teams, do enhancements and modification post transition when needed. You will work in more than one project with back-end data architects and systems engineers to construct data objects necessary for supporting business requirements. You will also apply specialized knowledge to support the organizations vision and direction, serving as your team's subject matter expert. Specific Role requirements Experience in SSIS/SQL packages to extract, transfer and load data, supporting and troubleshooting existing ETL processes using SSIS and Azure Data Factory. Working knowledge/experience on other data engineering tools like Databricks, Data lakes, Synapse and other azure services Ability to analyze large sets of data and determine patterns and rules for organizing and Prepare Visualization efforts Ability to build pipelines using azure data factory to load large datasets. Ability to work on database management, data modelling. Ability to handle multiple projects and coordinate between teams from different service lines. Analyze and create complex SQL and SSIS packages as needed to support new and evolving data integration projects and data extracts needed for further processing in Data Analytics Design and support database and table structures for new and evolving sources of data Coordinate development of ETL/data warehouse best practices needed to support new and evolving sources of data used in reporting, transaction processing and Analytics. Perform extensive and detailed data analysis necessary to ensure strict adherence to data quality. Participate in production support and code deployment outside of regular business hours. Take on end-to-end ownership and perform different roles within analysis and development phases. Set and manage expectations with clients while providing proactive communication and status updates; prioritize deliverables with client/requestor and follow/implement change control and release management processes. Adhere to general work requirements and perform other duties as assigned. Client Responsibilities: Need to be curious and ask the right questions to frame problems and find right analytic solutions. Need to work as a senior team member to contribute to various technical streams of Decision Sciences implementation project. Provide product and design level technical best practices. Interface and communicate with the onsite coordinators. Develop analytical strategies for business by leveraging the right analytical techniques and technologies. Documenting and presenting work to the client. Proactively recommending and influencing changes in business decision-making. Completion of assigned tasks on time and regular status reporting to the lead Experience and Qualification: More than 4+ years of experience advanced knowledge as a data analyst and SQL Server T-SQL /SSIS developer /ETL/ Azure Cloud Developer specifically ADF, Databricks and other azure services Minimum 2+ years of experience in Python or pyspark programming Minimum 2+ years of experience in data modeling or data architecture principles Should have work experience or understand the DWH or data lake implementation Understanding of Azure Key Vault for secure key management. Should have knowledge on CI/CD deployment process Bachelors/masters degree in a related field Should have end to end project implementation experience Experience working in agile environment. Your people responsibilities (For People Leading Roles) Building a quality culture Manage the performance management for the direct repartees, as per the organization policies. Foster teamwork and lead by example Training and mentoring of project resources. Participating in the organization-wide people initiatives Additional Skills requirements Prior Client facing skills is a plus. Excellent written and verbal communication skills Azure Cloud certification (Foundation or Data engineer or data architect)

About Company

Accenture is a global professional services company that provides a broad range of services in strategy, consulting, digital, technology, and operations. Headquartered in Dublin, Ireland, Accenture operates in more than 120 countries and serves clients in various industries, including finance, healthcare, technology, and consumer goods. The company focuses on delivering innovative solutions and digital transformation services to help businesses improve efficiency, enhance performance, and drive growth. Accenture is known for its extensive use of technology and data analytics to solve complex business challenges and maintain a competitive edge in a rapidly changing market.

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