Accellor’s Post

Data Architect

Hi All I hope you all are doing well. 😊 I would like to connect with you regarding a job opportunity in one of the Big4. Job Role - Data Engineer Experience - 6+ Years Location- Mumbai Job Summary: Data Modeler Job Description: Designing and implementing data models to manage and analyse data effectively. Work closely with data architects, data analysts, and database administrators to create and manage data systems that support efficient data management and analysis. Understand business requirements, translate them into technical designs, deal with complexities of integration of disparate systems, investigate the quality of the data in those systems and put it all together so it can be accessed, manipulated, and turned into business intelligence. Design conceptual/ logical/ physical entity relationship and/or relational models and multidimensional models for an EDW that implements flexible reporting capability in the context of one or more reporting toolsets. Provide multi-dimensional modelling expertise and leadership by designing data structures to support the growth and improved reporting functionality of the Data Lake/ EDW. Guide the development and maintenance of data standards, policies and practices; Guide the design of the data models, in alignment with the solution architecture. Work closely with database administration, ETL, and BI development staff to optimize overall design at an enterprise level. Responsibilities: Analyse Business Needs: Understand and translate business requirements into data models. Develop Data Models: Create conceptual, logical, and physical data models to support business processes. Database Design: Design and implement effective database solutions to store and retrieve company data. Data Migration: Oversee the migration of data from legacy systems to new solutions. Performance Monitoring: Monitor system performance by performing regular tests, troubleshooting, and integrating new features. Compliance: Ensure that database implementation procedures comply with internal and external regulations. Data Security: Understanding of authentication and authorization techniques. Developing the model to support data level security. Please connect with Renu Indoriya or you can mail your resumes to renu@tspls.com Sanjeev Anand Techsist Solution Mohd Qaaid Riya Agarwal Showket Rahman Priti Yadav Nidhi Suryavanshi Shalima Singh Mamtesh Tiwari #Data Engineer #Data Modeler #Data Modelling #Data Migration #ETL #Business Needs #Database Design

Hello Connections, Urgent hiring for the position of Sr. Data Engineer Post: Sr. Data Engineer Experience : 5+ Years experience Location: Mumbai (Airoli) Work Mode: Work form office Shift: Day Shift Working: 5 Days working Role and Responsibility: • ·        ·        Create and maintain optimal data pipeline architecture ·        Overseeing activities of the junior data engineering teams, ensuring proper execution of their duties and alignment with business vision and objectives. ·        Assemble large, complex data sets that meet functional / non-functional business requirements. ·        Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. ·        Work closely with the business’s Data and Analytics teams, gathering technical requirements for exceptional data governance across the department and the business at large ·        Learn how to write more efficient code and support the development of predictive data-driven solutions. ·        Create systems and procedures to acquire, organize, and clean raw data that data scientists and MIS teams.                 ·        Improves efficiency through workable thinking and the efficient use of new technologies and concepts                ·        Create UT cases to ensure that the codebase maintains system stability and documentation. ·        Implement best practices and learn innovative approaches to keep codebases up to date on a regular basis. Interested Candidate can share Resume OR call on below no. hr13@corporateladder.in , 7715914777 #spark #pyspark #python #sql #azure #aws #etlpipline #airflow #bigdata #gcp #hadoop #scala #hive #hdfs #nosql #unix #powershell #pipline #architecture

Hi, We are #hiringimmediately Data Governance Consultant, If interested Please share your resume to saravanang@clouddestinations.com. Role: Data Governance Consultant  Location: Chennai/Coimbatore- Work from office  Experience: 5+ years Notice period: Immediate to 15 days max   Data Skills:  Data Modeling: Understanding of data models (star schema, snowflake schema) and the ability to identify data entities, attributes, and relationships relevant to the financial industry.  Data Quality: Knowledge of data quality principles, metrics and techniques for data cleansing, validation, and transformation.  Data Security: Understanding of data security best practices in finance, including access control, encryption, and data loss prevention.  Data Catalog Management: Experience with managing data catalogs, including data classification, tagging, and metadata management, if Acryl utilizes a data catalog component.  Data Lineage Tracking: Understanding of data lineage tracking principles and how Acryl implements it to track data origin, transformations, and flow throughout the system.  Data Access Control: Knowledge of data access control best practices and how Acryl enforces access restrictions based on user roles and permissions.    Technical skills and duties    Has data engineering knowledge  Has familiarity with graphql, python or java  Has familiarity with key data platforms: Snowflake, Looker, Aurora Postgres, Fivetran, Airflow, SQL server  Can work cross-functionally to identify dataset owners, gather documentation, and coordinate setting up the business glossary, domains, and other similar tasks. This information usually lives across multiple technical teams.  Tag all tables and fields, PII/non-PII data   Specify the relationship between datasets  Have a project manager experience to track tasks against milestones    Nice to have:   Financial Data Management: Familiarity with financial data regulations and standards (e.g., Know Your Customer (KYC), Anti-Money Laundering (AML)). Basic understanding of financial products, services, and regulations relevant to small public financial companies.  AIML : Knowledge of data science, AIML, MLOps, data protection, privacy 

Job Title: Big Data Developer Experience: 3+ years Contract: 3 Months + Extension Location: Onsite Bengaluru (India, Embassy Tech Square, Bangalore) Expected CTC: 100000 per month Regrads Lokesh. K lokesh@sarohrsolutions.com #hiring #BigdataDeveloperhiring #hiringalert #BigData #DataScience #DataAnalytics #BigDataDeveloper #DataEngineering #Hadoop #Spark #Python #Java #Scala #MachineLearning #ArtificialIntelligence #DataEngineering #DataArchitecture #DataMining

Dear Connections, We are hiring for AD - Project Data Engineer Skills: GCP, Data Science, Data Modeling, ETL pipelines, Data Visualization Location: Bangalore Exp: 6 - 10yrs Mode of Work: Hybrid can share your resume at archana.k@hr-central.in #DataEngineer# #DataScience# #DataModeler# #GCP# #Bigquery# #ETLPipelines# #Datavisualizatiin#

#Hello_connections! #Hiring_allert!!! #Hiring_for_below_mentioned_positions! Data Engineer Senior Data Engineer Lead Data Engineer Experience: 5+ years Location: Bangalore Interested Candidates can share the resume to puja@datamazeonline.in #Datapipelines #Datamodeling #Snowflake #SQLQueries #DataLakes #DataWarehouse #Azure #Python #APIDevelopment #FiveTran #Coding #Documenting #Testing

We are hiring!!! Skill : Big Data Architect Experience: 10 to 12 years Place: Chennai Interview mode: Face to Face Interview Walk-in Direct Drive; August 23rd If you are interested, kindly share your resume to madhan@selsoftinc.com Job Description Ø Design and implement scalable big data architectures on Microsoft Azure and Azure Fabric to handle large volumes of data efficiently and securely. Ø Develop and manage data pipelines for ingesting, processing, and analyzing large datasets, ensuring data quality and integrity. Ø Collaborate with data scientists, data engineers, and business stakeholders to understand data requirements and design solutions that meet business needs. Ø Integrate data from multiple sources and platforms into a unified data architecture, ensuring seamless data flow and accessibility across the organization. Ø Develop and maintain data storage solutions, including data lakes and data warehouses, using Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Cosmos DB. Ø Implement data security and compliance measures to protect sensitive information and ensure adherence to industry standards and regulations. Ø Optimize data processing and storage for performance, scalability, and cost-effectiveness, leveraging Azure services like Azure Databricks and HDInsight. Ø Lead the design and implementation of real-time data streaming solutions using Azure Stream Analytics and Event Hubs. Ø Develop and implement data governance frameworks to manage data quality, data lineage, and data cataloging. Ø Design and implement machine learning and AI solutions on big data platforms to support advanced analytics and predictive modeling. Ø Ensure high availability and disaster recovery for big data systems, implementing strategies such as data replication and failover mechanisms. Ø Provide technical leadership and guidance to data engineering teams, ensuring best practices in data architecture and engineering. Ø Collaborate with IT and security teams to integrate big data solutions with enterprise systems and ensure compliance with security policies. Ø Stay updated on the latest advancements in big data technologies and Microsoft Azure services and incorporate new features and tools into the organization & data architecture. Ø Lead and participate in data architecture reviews and technical discussions, providing insights and recommendations for continuous improvement. Ø Develop and maintain documentation for data architectures, data pipelines, and best practices, ensuring clarity and accessibility for team members. Ø Conduct training and workshops for internal teams to promote knowledge sharing and best practices in big data and cloud computing. Thanks and Regards Madhan madhan@selsoftinc.com

Hitachi Data Systems is currently seeking Analytics Manager for the Chennai location. Company: Hitachi Data Systems Experience: 5 to 8 Years Location: Chennai Key Skills: • Finance • Consulting • Equity • Manager Technology • power bi • Deputy Manager Operations • Subject Matter Expert • Performance analysis • Profitability analysis • Recruitment We don t expect you to fit every requirement - your life experience,character,perspective,and passion for achieving great things in the world are equally as important to us|We re people-centric and here to power good|We want you to be you,with all the ideas,lived experience,and fresh perspective that brings How to Apply: https://lnkd.in/gPM43z8j #Follow me for more job updates! For Direct referral📢: https://lnkd.in/gxbcwVkF Note: I'm not involved in the hiring process. I'm simply sharing this information to assist job seekers. Be cautious: if any company requests payment for a job, it could be fraudulent. #JobOpportunity #HiringNow #CareerOpportunity #ApplyNow #JobSeekers #TechJobs #ITJobs #DeveloperJobs #TestingJobs #DevOpsJobs #AutomationTesting #SoftwareTesting #QualityAssurance #QAEngineer #DataAnalytics #DataEngineer #SQLJobs #PythonJobs #DataAnalysis #BusinessIntelligence #SoftwareEngineering #SoftwareDevelopment #Programming #JobSearch