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10.0 - 15.0 years

12 - 16 Lacs

Hyderabad

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Job type Contract to HIRE Job Description : Tableau Administration & Infrastructure Management Install, configure, and maintain Tableau Server across multi-node environments. Manage Tableau Cloud (Online) and its integrations with enterprise systems. Monitor server activity and usage statistics to identify performance enhancements. Troubleshoot and resolve Tableau Server issues using logs, Tableau Repository, and monitoring tools. Manage Tableau Server upgrades and patching to ensure system stability and security Performance Optimization & Data Integrations Identify and resolve Tableau dashboard performance issues, optimizing extract refreshes and queries. Integrate Tableau with diverse cloud (GCP, AWS Athena) and on-premises data sources. Work with development teams to ensure new features and integrations align with infrastructure capabilities. Security, Authentication & Access Management Configure and manage SSO, Azure AD authentication, SCIM provisioning, and MFA. Implement and enforce role-based access control (RBAC) and security policies. User Support, Training & Governance Provide training and support to end-users on Tableau functionality and best practices. Create and manage custom administrative views using Tableau Repository data for user activity, license management, and monitoring. Collaborate with stakeholders to ensure Tableau governance and best practices are followed. Vendor & Stakeholder Collaboration Work closely with Tableau Vendor for complex issue resolution and enhancements. Coordinate with business users, developers, and IT teams to ensure a smooth Tableau experience If you are interested in, please share the update profile with below details. Current CTC Expected CTC Notice Period Total Experience Relevant Experience

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6.0 - 11.0 years

25 - 30 Lacs

Bengaluru

Hybrid

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Mandatory Skills : Data engineer , AWS Athena, AWS Glue,Redshift,Datalake,Lakehouse,Python,SQL Server Must Have Experience: 6+ years of hands-on data engineering experience Expertise with AWS services: S3, Redshift, EMR, Glue, Kinesis, DynamoDB Building batch and real-time data pipelines Python, SQL coding for data processing and analysis Data modeling experience using Cloud based data platforms like Redshift, Snowflake, Databricks Design and Develop ETL frameworks Nice-to-Have Experience : ETL development using tools like Informatica, Talend, Fivetran Creating reusable data sources and dashboards for self-service analytics Experience using Databricks for Spark workloads or Snowflake Working knowledge of Big Data Processing CI/CD setup Infrastructure-as-code implementation Any one of the AWS Professional Certification

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10.0 - 16.0 years

60 - 75 Lacs

Pune

Hybrid

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Position Summary: As a Software Architect, you will be responsible for providing technical leadership and architectural guidance to development teams, ensuring the design and implementation of scalable, robust, and maintainable software solutions. You will collaborate with stakeholders, including business leaders, project managers, and developers, to understand requirements, define architectural goals, and make informed decisions on technology selection, system design, and implementation strategies. Additionally, you will mentor and coach team members, promote best practices, and foster a culture of innovation and excellence within the organization. This role is based in Redaptive Pune, India office. Responsibilities and Duties: Time Spent Performing Duty: System Design and Architecture : 40% Identify and propose technical solutions for complex problem-statements. Provides an application-level perspective during design and implementation, which incorporates for cost constraints, testability, complexity, scalability, performance, migrations, etc. Provide technical leadership and guidance to development teams, mentoring engineers and fostering a culture of excellence and innovation. Review code and architectural designs to ensure adherence to coding standards, best practices, and architectural principles. Create and maintain architectural documentation, including architectural diagrams, design documents, and technical specifications, to ensure clarity and facilitate collaboration. Software Design and Development: 50% Gather and analyze requirements from stakeholders, understanding business needs, and translating them into technical specifications. Work alongside teams at all stages of design & development. Augmenting and supporting teams as needed. Collaborate with product managers, stakeholders, and cross-functional teams to define project scope, requirements, and timelines, and ensure successful project execution. Knowledge Sharing and Continuous Improvement: 10% Conduct presentations, workshops, and training sessions to educate stakeholders and development teams on architectural concepts, best practices, and technologies. Stay updated with emerging technologies, industry trends, and best practices in software architecture and development. Identify opportunities for process improvement, automation, and optimization in software development processes and methodologies. Share knowledge and expertise with team members through mentorship, training sessions, and community involvement. Required Abilities and Skills: Strong analytical and troubleshooting skills. Excellent verbal and written communication skills. Ability to effectively communicate with stakeholders, including business leaders and project managers to understand requirements and constraints. Works effectively with cross-functional teams, including developers, QA, product managers, and operations. Capability to understand the bigger picture and design systems that align with business goals, scalability requirements, and future growth. Ability to make tough decisions and take ownership of architectural choices, considering both short-term and long-term implications Mastery of one or more programming languages commonly used in software development, such as Java, Python, or JavaScript. Expertise in SQL and NoSQL database, including database design and optimization. Ability to quickly learn new technologies and adapt to changing requirements. Knowledge of techniques for designing scalable and high-performance web services, including load balancing, caching, and horizontal scaling. Knowledge of software design principles (e.g. object-oriented principles, data structures, and algorithms.) Processes a security mindset, drives adoption of best practices to design systems that are secure and resilient to security threats. Continuously learning and staying up to date with emerging technologies and best practices. Domain knowledge in energy efficiency, solar/storage, or electric utilities is a plus. Education and Experience: 10+ years of software development experience. Proven track record of delivering high-quality software solutions within deadlines. Demonstrated technical leadership experience. Experience with data heavy systems like Databricks and Data Ops. Experience with Cloud (AWS) application development. Experience with Java & Spring framework strongly preferred. Experience with distributed architectures, SOA, microservices and containerization technologies (e.g., Docker, Kubernetes) Experience designing and developing web-based applications and backend services. Travel: This role may require 1-2 annual international work visits to the US. The Perks! Equity plan participation Medical and Personal Accident Insurance Support on Hybrid working and Relocation Flexible Time Off Continuous Learning Annual bonus, subject to company and individual performance The company is an Equal Opportunity Employer, drug free workplace, and complies with Labor Laws as applicable. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.

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8 - 13 years

12 - 22 Lacs

Gurugram

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Data & Information Architecture Lead 8 to 15 years - Gurgaon Summary An Excellent opportunity for Data Architect professionals with expertise in Data Engineering, Analytics, AWS and Database. Location Gurgaon Your Future Employer : A leading financial services provider specializing in delivering innovative and tailored solutions to meet the diverse needs of our clients and offer a wide range of services, including investment management, risk analysis, and financial consulting. Responsibilities Design and optimize architecture of end-to-end data fabric inclusive of data lake, data stores and EDW in alignment with EA guidelines and standards for cataloging and maintaining data repositories Undertake detailed analysis of the information management requirements across all systems, platforms & applications to guide the development of info. management standards Lead the design of the information architecture, across multiple data types working closely with various business partners/consumers, MIS team, AI/ML team and other departments to design, deliver and govern future proof data assets and solutions Design and ensure delivery excellence for a) large & complex data transformation programs, b) small and nimble data initiatives to realize quick gains, c) work with OEMs and Partners to bring the best tools and delivery methods. Drive data domain modeling, data engineering and data resiliency design standards across the micro services and analytics application fabric for autonomy, agility and scale Requirements Deep understanding of the data and information architecture discipline, processes, concepts and best practices Hands on expertise in building and implementing data architecture for large enterprises Proven architecture modelling skills, strong analytics and reporting experience Strong Data Design, management and maintenance experience Strong experience on data modelling tools Extensive experience in areas of cloud native lake technologies e.g. AWS Native Lake Solution onsibilities

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5 - 8 years

35 Lacs

Bengaluru

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Roles & Responsibility:- In this role, within the data platform engineering group, you will help us design, build, and operate our data services infrastructure which is at the core of our data-driven culture. Take responsibility for the quality of the code produced. Take responsibility for all aspects of software engineering, from design to implementation, QA, and maintenance. Operate across our evolving technology stack - Java, Kotlin, React, SQL, Spark, Snowflake and more. Implement new features in a powerful and widely used ETL orchestration tool. Investigate and use Cloud Technologies to deploy our software. Integrate with production Data Sources and our petabyte scale data lake. Operate across our evolving technology stack - were developing in Java, React, SQL and more. Collaborate closely with Product, Data Engineering, Machine Learning, Analytics as well as other functional teams to define feature specifications and develop high-quality deliverables for our customers. Work with technical leadership to make strategic technology decisions Work alongside other engineering groups located around the world (US, Lisbon, UK, India). Preferred candidate profile :- Hands on experience in JAVA/Kotlin, Good understanding in Data structures, Algorithms Should have experience in ETL, AWS Cloud, SQL What we are looking for: 6+ Years Experience as a professional engineer BS or MS in Computer Science or equivalent A strong history of development with Java or a JVM based language Proven record of successful software development Nice to have: Knowledge of the modern AWS Data Ecosystem, including AWS Glue, AWS Athena, AWS EKS, AWS S3, and AWS Lambda Experience developing ETL processes and streaming data pipelines; including defining SLAs and performance monitoring Experience with Kotlin. Experience with Spring Boot. Experience with frontend technologies (React, GraphQL, etc.) Experience developing for large-scale, full life-cycle, software applications Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. Familiarity with big data modeling and tools (Spark, Snowflake, Big Query, Presto, etc Location- PAN India

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2 - 5 years

4 - 8 Lacs

Gurgaon

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Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. Job Description - Grade Specific The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high-quality data solutions to support the organization's data-driven objectives. Skills (competencies) Ab Initio Agile (Software Development Framework) Apache Hadoop AWS Airflow AWS Athena AWS Code Pipeline AWS EFS AWS EMR AWS Redshift AWS S3 Azure ADLS Gen2 Azure Data Factory Azure Data Lake Storage Azure Databricks Azure Event Hub Azure Stream Analytics Azure Sunapse Bitbucket Change Management Client Centricity Collaboration Continuous Integration and Continuous Delivery (CI/CD) Data Architecture Patterns Data Format Analysis Data Governance Data Modeling Data Validation Data Vault Modeling Database Schema Design Decision-Making DevOps Dimensional Modeling GCP Big Table GCP BigQuery GCP Cloud Storage GCP DataFlow GCP DataProc Git Google Big Tabel Google Data Proc Greenplum HQL IBM Data Stage IBM DB2 Industry Standard Data Modeling (FSLDM) Industry Standard Data Modeling (IBM FSDM)) Influencing Informatica IICS Inmon methodology JavaScript Jenkins Kimball Linux - Redhat Negotiation Netezza NewSQL Oracle Exadata Performance Tuning Perl Platform Update Management Project Management PySpark Python R RDD Optimization SantOs SaS Scala Spark Shell Script Snowflake SPARK SPARK Code Optimization SQL Stakeholder Management Sun Solaris Synapse Talend Teradata Time Management Ubuntu Vendor Management

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3 - 5 years

5 - 8 Lacs

Pune

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Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. Job Description - Grade Specific The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high-quality data solutions to support the organization's data-driven objectives. Skills (competencies) Ab Initio Agile (Software Development Framework) Apache Hadoop AWS Airflow AWS Athena AWS Code Pipeline AWS EFS AWS EMR AWS Redshift AWS S3 Azure ADLS Gen2 Azure Data Factory Azure Data Lake Storage Azure Databricks Azure Event Hub Azure Stream Analytics Azure Sunapse Bitbucket Change Management Client Centricity Collaboration Continuous Integration and Continuous Delivery (CI/CD) Data Architecture Patterns Data Format Analysis Data Governance Data Modeling Data Validation Data Vault Modeling Database Schema Design Decision-Making DevOps Dimensional Modeling GCP Big Table GCP BigQuery GCP Cloud Storage GCP DataFlow GCP DataProc Git Google Big Tabel Google Data Proc Greenplum HQL IBM Data Stage IBM DB2 Industry Standard Data Modeling (FSLDM) Industry Standard Data Modeling (IBM FSDM)) Influencing Informatica IICS Inmon methodology JavaScript Jenkins Kimball Linux - Redhat Negotiation Netezza NewSQL Oracle Exadata Performance Tuning Perl Platform Update Management Project Management PySpark Python R RDD Optimization SantOs SaS Scala Spark Shell Script Snowflake SPARK SPARK Code Optimization SQL Stakeholder Management Sun Solaris Synapse Talend Teradata Time Management Ubuntu Vendor Management

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