745 Amazon Redshift Jobs - Page 10

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 3-5+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala ; Minimum 3 years of experience on Cloud Data Platforms on AWS; Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala ; Minimum 3 years of experience on Cloud Data Platforms on AWS; Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Exposure to streaming solutions and message brokers like Kafka technologies Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of more than one technology Basics of Architecture and Design fundamentals Knowledge of Testing tools Knowledge of agile methodologies Understanding of Project life cycle activities on development and maintenance projects Understanding of one or more Estimation methodologies, Knowledge of Quality processes Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills Technical and Professional : Primary skills:Technology-Data Management - Data Integration-Talend Preferred Skills: Technology-Data Management - Data Integration-Talend

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional : Primary skills:Technology-Machine Learning-Python Preferred Skills: Technology-Machine Learning-Python

Role Responsibilities Design, develop, and maintain the organization's business intelligence and reporting dashboards. Design, develop, and maintain data models and feeds for report development. Prepare insights based on data and reporting solutions. Collaborate with business stakeholders to understand reporting and analysis needs and translate them into technical requirements. Ensure that data is accurate and easily accessible for reporting and analysis. Develop and maintain persona-based dashboards, management reports and executive views to provide business insights. Experienced in Power BI to understand business needs and deliver technical solutions. Follow, learn, and share best practices for Power BI development. Ensure compliance with security and data privacy policies and regulations. Manage and prioritize workload and identify opportunities to streamline processes and improve efficiency. Keep up to date with industry trends and emerging technologies and evaluate their potential impact on business intelligence and reporting. Qualifications & Skills Bachelor's degree in Computer Science, Information Systems, or a related field Master of Business Administration preferred. At least 4 years of experience in business intelligence and reporting, with a focus on data visualization, dashboards, and reporting. Demonstrated experience with Microsoft Power BI, with proficiency in complex DAX, Power Query, tabular data modeling, visualizations, RLS, composite modeling, Power BI Service, Licensing, etc. Strong understanding of database systems, analytical processing, data modeling and ETL/DWH framework. Worked in advanced SQL and database technologies such as Microsoft SQL Server, Azure SQL Server, Oracle, and MySQL, and Amazon Redshift SQL. Experience with cloud-based data storage and processing technologies such as AWS or Azure Data Factory is a plus. Experience in end-to-end implementation projects as well as maintenance & support projects is a plus. Excellent communication skills, with the ability to collaborate effectively with cross-functional teams. Experienced across requirement analysis, solutioning, designing, modeling, implementation, testing, end-user communication. Work in diverse environments - geographical, cultural, and business is preferred. Ability to adapt to changing reporting requirements, priorities, and project timelines. Experience in Banking or Financial Services industry is a plus. Experience in Agile methodologies is preferred. Experience in Microsoft Excel, SharePoint Online, PowerAutomate, Draw.io, Power Apps, Administration, Governance, REST API, PowerShell, JavaScript, DAX Studio, Tabular Editor, Python, R programming, is a plus. Certification in Microsoft Power BI or SQL is a plus. Must Have: SQL (Minimum 3 4 years of hands-on experience), DAX, Power BI, Power Query, M Query. Location - Remote, Hyderabad,Ahmedabad,pune,chennai,kolkata.

Role Responsibilities Design, develop, and maintain the organization's business intelligence and reporting dashboards. Design, develop, and maintain data models and feeds for report development. Prepare insights based on data and reporting solutions. Collaborate with business stakeholders to understand reporting and analysis needs and translate them into technical requirements. Ensure that data is accurate and easily accessible for reporting and analysis. Develop and maintain persona-based dashboards, management reports and executive views to provide business insights. Experienced in Power BI to understand business needs and deliver technical solutions. Follow, learn, and share best practices for Power BI development. Ensure compliance with security and data privacy policies and regulations. Manage and prioritize workload and identify opportunities to streamline processes and improve efficiency. Keep up to date with industry trends and emerging technologies and evaluate their potential impact on business intelligence and reporting. Qualifications & Skills Bachelor's degree in Computer Science, Information Systems, or a related field Master of Business Administration preferred. At least 4 years of experience in business intelligence and reporting, with a focus on data visualization, dashboards, and reporting. Demonstrated experience with Microsoft Power BI, with proficiency in complex DAX, Power Query, tabular data modeling, visualizations, RLS, composite modeling, Power BI Service, Licensing, etc. Strong understanding of database systems, analytical processing, data modeling and ETL/DWH framework. Worked in advanced SQL and database technologies such as Microsoft SQL Server, Azure SQL Server, Oracle, and MySQL, and Amazon Redshift SQL. Experience with cloud-based data storage and processing technologies such as AWS or Azure Data Factory is a plus. Experience in end-to-end implementation projects as well as maintenance & support projects is a plus. Excellent communication skills, with the ability to collaborate effectively with cross-functional teams. Experienced across requirement analysis, solutioning, designing, modeling, implementation, testing, end-user communication. Work in diverse environments - geographical, cultural, and business is preferred. Ability to adapt to changing reporting requirements, priorities, and project timelines. Experience in Banking or Financial Services industry is a plus. Experience in Agile methodologies is preferred. Experience in Microsoft Excel, SharePoint Online, PowerAutomate, Draw.io, Power Apps, Administration, Governance, REST API, PowerShell, JavaScript, DAX Studio, Tabular Editor, Python, R programming, is a plus. Certification in Microsoft Power BI or SQL is a plus. Must Have: SQL (Minimum 3 4 years of hands-on experience), DAX, Power BI, Power Query, M Query. Location - Remote, Hyderabad,Ahmedabad,pune,chennai,kolkata.

A Senior Solutions Architect at Amazon Web Services (AWS) designs and implements cloud architectures to help customers solve business challenges. They work with customers to: 18+ Years Experience as AWS Solution Architect Design and Implement AWS Cloud Landing AWS Control Tower Understand their business and technical requirements Translate those requirements into technical solutions Design and develop cloud solutions Migrate existing workloads to the cloud Optimize existing solutions Propose AWS new solutions Ensure solutions comply with industry standards and security Lead the technical solution design and creation of architecture blueprints. Perform systems modelling, simulation, and analysis to ensure the soundness of the solution. Review prototypes, solution blueprints, and project scope to ensure that stakeholders needs are being met. Support the analysis of the functionality and constraints of recommended solutions, and the impact and changes required across multiple systems, platforms and applications. Support risk identification and development of risk mitigation strategies associated with the end-to-end solution. Foster continuous improvement by looking for ways to improve the design processes, models and approach.

Role: AWS Data Engineer Experience: 6-9 years Location: Bangalore/ Chennai Mode of work: Onsite Interview: F2F required Key Skills: AWS Services, Talend, Python, AWS Glue, Apache Airflow, AWS SageMaker, Amazon Redshift, Terraform

Proven expert at writing SQL code with at least 10 years of experience. Must have 5+ years of experience working with large data with transactions in the order of 5 10M records. 5+ years of experience modeling loosely coupled relational databases that can store tera or petabytes of data. 3+ years of proven expertise in working with large Data Warehouses. Expert at ETL transformations using SSIS.

Role: Snowflake Developer with DBT Location: Bangalore/Hyderabad/Pune About the Role : We are seeking a Snowflake Developer with a deep understanding of DBT (data build tool) to help us design, build, and maintain scalable data pipelines. The ideal candidate will have hands-on experience working with Snowflake, DBT, and a passion for optimizing data processes for performance and efficiency. Responsibilities : Design, develop, and optimize Snowflake data models and DBT transformations. Build and maintain CI/CD pipelines for automated DBT workflows. Implement best practices for data pipeline performance, scalability, and efficiency in Snowflake. Contribute to the DBT community or develop internal tools/plugins to enhance the workflow. Troubleshoot and resolve complex data pipeline issues using DBT and Snowflake Qualifications : Must have minimum 4+ years of experience with Snowflake Must have at least 1 year of experience with DBT Extensive experience with DBT, including setting up CI/CD pipelines, optimizing performance, and contributing to the DBT community or plugins. Must be strong in SQL, data modelling, and ELT pipelines. Excellent problem-solving skills and the ability to collaborate effectively in a team environment.

Bachelors or masters degree in computer science, Information Technology, Data Science, or a related field. Must have minimum 4 years of relevant experience Proficient in Python with hands-on experience building ETL pipelines for data extraction, transformation, and validation. Strong SQL skills for working with structured data. Familiar with Grafana or Kibana for data visualization and monitoring/dashboards. Experience with databases such as MongoDB, Elasticsearch, and MySQL. Comfortable working in Linux environments using common Unix tools. Hands-on experience with Git, Docker and virtual machines.

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

We are looking for an experienced Data Engineer with a strong background in data engineering, storage, and cloud technologies. The role involves designing, building, and optimizing scalable data pipelines, ETL/ELT workflows, and data models for efficient analytics and reporting. The ideal candidate must have strong SQL expertise, including complex joins, stored procedures, and certificate-auth-based queries. Experience with NoSQL databases such as Firestore, DynamoDB, or MongoDB is required, along with proficiency in data modeling and warehousing solutions like BigQuery (preferred), Redshift, or Snowflake. The candidate should have hands-on experience working with ETL/ELT pipelines using Airflow, dbt, Kafka, or Spark. Proficiency in scripting languages such as PySpark, Python, or Scala is essential. Strong hands-on experience with Google Cloud Platform (GCP) is a must. Additionally, experience with visualization tools such as Google Looker Studio, LookerML, Power BI, or Tableau is preferred. Good-to-have skills include exposure to Master Data Management (MDM) systems and an interest in Web3 data and blockchain analytics.

Design, develop, and implement data solutions using AWS Data Stack components such as Glue and Redshift.Write and optimize advanced SQL queries for data extraction, transformation, and analysis.Develop data processing workflows and ETL processes using Python and PySpark.

Overview Annalect is currently seeking a back-end developer to join our Technology team. In this role, you will help grow our microservices and API layer which sit atop our Big Data infrastructure. We are passionate about building distributed back-end systems in a modular and reusable way. We're looking for people who have a shared passion for data and desire to build cool, maintainable and high-quality applications to use this data. In this role you will participate in shaping our technical architecture, design and development of software products, collaborate with back-end developers from other tracks, research and evaluation of new technical solutions, and helping to elevate the skills of more junior developers. Responsibilities Designing, building, testing and deploying scalable, reusable and maintainable applications that handle large amounts of data Growing our API layer: author, update, and debug API microservices; contribute to API design and architecture Perform code reviews and provide leadership and guidance to junior developers Ability to learn and teach new technologies Qualifications 5+ years of solid coding experience working in Python Demonstrated proficiency with RESTful APIs (data caching, JWT auth, API load testing, RAML), and production use of a python API framework Fluency with Linux/Unix Systems and in bash Excellent grasp of microservices, containers (Docker), container orchestration (Kubernetes), serverless computing (AWS Lambda) and distributed/scalable systems Proven history of mentoring junior developers to improve overall team effectiveness Passion for writing good documentation and creating architecture diagrams Experience processing and analyzing large data sets. Extensive history working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery) Rigorous approach to testing (unit testing, functional testing, integration testing) Understanding of critical API security best practices Ability to profile, identify, debug, and fix performance bottlenecks in application and database layers with modern tooling Strong proficiency in conducting PR reviews and helping to maintain a high-quality code base Knowledge of git, with understanding of branching, how to manage conflicts, and pull requests

We are looking for a highly skilled and experienced Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Provide expert-level support for data analysis and reporting needs. Identify trends and patterns in large datasets to inform business decisions. Develop and implement process improvements to increase efficiency and productivity. Communicate findings and insights to stakeholders through clear and concise reports. Job Requirements Strong understanding of data analysis principles and techniques. Proficiency in data visualization tools and software. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment with multiple priorities. Strong problem-solving skills and attention to detail. Experience working with large datasets and developing complex reports. Title: Analyst, ref: 78642.

Job Description Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience in supporting and maintaining ETL pipelines. Strong proficiency in SQL and experience with relational databases (e.g., Redshift). Solid understanding of distributed computing concepts and experience with Apache Spark. Hands-on experience with AWS Glue and other AWS data services (e.g., S3, Lambda). Experience with data warehousing concepts and best practices. Excellent problem-solving, analytical skills and strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred Skills and Experience: Experience with other ETL tools and technologies Experience with scripting languages (e.g., Python). Familiarity with Agile development methodologies. Experience with data visualization tools (e.g., Tableau, Power BI). Roles & Responsibilities Monitor and maintain existing ETL pipelines, ensuring data quality and availability. identify and resolve pipeline issues and data errors. Troubleshoot data integration processes. If needed, collaborate with data engineers and other stakeholders to resolve complex issues Develop and maintain necessary documentation for ETL processes and pipelines. Participate in on-call rotation for production support.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : Microsoft SQL Server, Python (Programming Language), AWS RedshiftMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Senior Analyst, Data Engineering, you will be part of the Data and Analytics team, responsible for developing and delivering high-quality data assets and managing data domains for Personal Banking customers and colleagues. You will bring expertise in data handling, curation, and conformity, and support the design and development of data solutions that drive business value. You will work in an agile environment to build scalable and reliable data pipelines and platforms within a complex enterprise. Roles & Responsibilities:Hands-on development experience in Data Warehousing and/or Software Development.Utilize tools and best practices to build, verify, and deploy data solutions efficiently.Perform data integration and sourcing activities across various platforms.Develop data assets to support optimized analysis for customer and regulatory outcomes.Provide ongoing support for data platforms, including problem and incident management.Collaborate in Agile software development environments using tools like GitHub, Confluence, and Rally.Support continuous improvement and innovation in data engineering practices. Professional & Technical Skills: Must To Have Skills: Experience with cloud technologies, especially AWS (S3, Redshift, Airflow).Proficiency in DevOps and DataOps tools such as Jenkins, Git, and Erwin.Advanced skills in SQL and Python.Working knowledge of UNIX, Spark, and Databricks. Additional Information:Position:Senior Analyst, Data EngineeringReports to:Manager, Data EngineeringDivision:Personal BankGroup:3Industry/Domain Skills: Experience in Retail Banking, Business Banking, or Wealth Management preferred Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Engineering Good to have skills : Microsoft SQL Server, Python (Programming Language), Snowflake Data WarehouseMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Senior Analyst, Data Engineering, you will be part of the Data and Analytics team, responsible for developing and delivering high-quality data assets and managing data domains for Personal Banking customers and colleagues. You will bring expertise in data handling, curation, and conformity, and support the design and development of data solutions that drive business value. You will work in an agile environment to build scalable and reliable data pipelines and platforms within a complex enterprise. Roles & Responsibilities:Hands-on development experience in Data Warehousing and/or Software Development.Utilize tools and best practices to build, verify, and deploy data solutions efficiently.Perform data integration and sourcing activities across various platforms.Develop data assets to support optimized analysis for customer and regulatory outcomes.Provide ongoing support for data platforms, including problem and incident management.Collaborate in Agile software development environments using tools like GitHub, Confluence, and Rally.Support continuous improvement and innovation in data engineering practices. Professional & Technical Skills: Must To Have Skills: Experience with cloud technologies, especially AWS (S3, Redshift, Airflow).Proficiency in DevOps and DataOps tools such as Jenkins, Git, and Erwin.Advanced skills in SQL and Python.Working knowledge of UNIX, Spark, and Databricks. Additional Information:Position:Senior Analyst, Data EngineeringReports to:Manager, Data EngineeringDivision:Personal BankGroup:3Industry/Domain Skills: Experience in Retail Banking, Business Banking, or Wealth Management preferred Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Talend ETL Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the decision-making process. Your role will require you to balance technical oversight with team management, fostering an environment of innovation and collaboration. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement adjustments as necessary to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Talend ETL.- Good To Have Skills: Experience with data integration tools and methodologies.- Strong understanding of data warehousing concepts and practices.- Experience in performance tuning and optimization of ETL processes.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 5 years of experience in Talend ETL.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Talend ETL Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will require you to balance technical oversight with team management, fostering an environment of collaboration and innovation. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Talend ETL.- Strong understanding of data integration processes and methodologies.- Experience with data warehousing concepts and practices.- Familiarity with SQL and database management systems.- Ability to troubleshoot and resolve technical issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in Talend ETL.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Visualization Good to have skills : Microsoft SQL Server, SAS BI, Microsoft Power Business Intelligence (BI)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Senior Analyst, Data Engineering, you will be part of the Data and Analytics team, responsible for developing and delivering high-quality data assets and managing data domains for Personal Banking customers and colleagues. You will bring expertise in data handling, curation, and conformity, and support the design and development of data solutions that drive business value. You will work in an agile environment to build scalable and reliable data pipelines and platforms within a complex enterprise. Roles & Responsibilities:Hands-on development experience in Data Warehousing and/or Software Development.Utilize tools and best practices to build, verify, and deploy data solutions efficiently.Perform data integration and sourcing activities across various platforms.Develop data assets to support optimized analysis for customer and regulatory outcomes.Provide ongoing support for data platforms, including problem and incident management.Collaborate in Agile software development environments using tools like GitHub, Confluence, and Rally.Support continuous improvement and innovation in data engineering practices. Professional & Technical Skills: Must To Have Skills: Experience with cloud technologies, especially AWS (S3, Redshift, Airflow).Proficiency in DevOps and DataOps tools such as Jenkins, Git, and Erwin.Advanced skills in SQL and Python.Working knowledge of UNIX, Spark, and Databricks. Additional Information:Position:Senior Analyst, Data EngineeringReports to:Manager, Data EngineeringDivision:Personal BankGroup:3Industry/Domain Skills: Experience in Retail Banking, Business Banking, or Wealth Management preferred Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Talend ETL Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and best practices among team members.- Monitor project progress and ensure timely delivery of application components. Professional & Technical Skills: - Must To Have Skills: Proficiency in Talend ETL.- Strong understanding of data integration processes and methodologies.- Experience with data warehousing concepts and practices.- Familiarity with SQL and database management systems.- Ability to troubleshoot and resolve technical issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in Talend ETL.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : AWS Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly across the organization, contributing to the overall efficiency and effectiveness of data management practices. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Develop and maintain documentation related to data architecture and design. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Analytics.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Familiarity with cloud data storage solutions and architectures.- Ability to analyze and optimize data workflows for performance. Additional Information:- The candidate should have minimum 5 years of experience in AWS Analytics.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Analytics Good to have skills : Microsoft SQL Server, Python (Programming Language), AWS RedshiftMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary The purpose of the Data Engineering function within the Data and Analytics team is to develop and deliver great data assets and data domain management for our Personal Banking customers and colleagues seamlessly and reliably every time.As a Senior Data Engineer, you will bring expertise on data handling, curation and conformity capabilities to the team; support the design and development of solutions which assist analysis of data to drive tangible business benefit; and assist colleagues in developing solutions that will enable the capture and curation of data for analysis, analytical and/or reporting purposes. The Senior Data Engineer must be experience working as part of an agile team to develop a solution in a complex enterprise. Roles & ResponsibilitiesHands on development experience in Data Warehousing, and or Software DevelopmentExperience utilising tools and practices to build, verify and deploy solutions in the most efficient waysExperience in Data Integration and Data Sourcing activitiesExperience developing data assets to support optimised analysis for customer and regulatory outcomes.Provide ongoing support for platforms as required e.g. problem and incident managementExperience in Agile software development including Github, Confluence, Rally Professional & Technical SkillsExperience with cloud technologies, especially AWS (S3, Redshift, Airflow), DevOps and DataOps tools (Jenkins, Git, Erwin)Advanced SQL and Python userKnowledge of UNIX, Spark and Databricks Additional InformationPosition:Senior Analyst, Data EngineeringReports to:Manager, Data EngineeringDivision:Personal BankGroup:3Industry/domain skills:Some expertise in Retail Banking, Business Banking and or Wealth Management preferred Qualification 15 years full time education