3311 Big Data Jobs - Page 28

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 : Cloud InfrastructureMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a StreamSets SME with deep expertise in IBM StreamSets and working knowledge of cloud infrastructure to support ongoing client engagements. The ideal candidate should have a strong data engineering background with hands-on experience in metadata handling, pipeline management, and discovery dashboard interpretation.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 project goals are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application development with organizational objectives, ensuring that all stakeholders are informed and involved in key decisions throughout the project lifecycle.Key Responsibilities:Lead and manage the configuration, monitoring, and optimization of StreamSets pipelines.Work closely with client teams and internal stakeholders to interpret metadata extracts and validate pipeline inputs from StreamSets and Pulse Discovery Dashboards.Evaluate metadata samples provided by the client and identify gaps or additional requirements for full extraction.Coordinate with SMEs and client contacts to validate technical inputs and assessments.Support the preparation, analysis, and optimization of full metadata extracts for ongoing project phases.Collaborate with cloud infrastructure teams to ensure seamless deployment and monitoring of StreamSets on cloud platforms.Provide SME-level inputs and guidance during design sessions, catch-ups, and technical reviews.Ensure timely support during critical assessments and project milestones. 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 mentoring within the team to enhance overall performance.- Monitor project progress and implement necessary adjustments to meet deadlines and quality standards.Preferred Qualifications:Proven experience in StreamSets (IBM preferred) pipeline development and administration.Familiarity with Discovery Dashboard and metadata structures.Exposure to cloud platforms such as AWS, including infrastructure setup and integration with data pipelines.Strong communication skills for client interaction and stakeholder engagement.Ability to work independently in a fast-paced, client-facing environment. Professional & Technical Skills: - Must To Have Skills: Proficiency SME in IBM StreamSets- Good To Have Skills: Experience with Cloud Infrastructure. Proficiency in Data Engineering.- Strong understanding of data modeling and ETL processes.- Experience with big data technologies such as Hadoop or Spark.- Familiarity with database management systems, including SQL and NoSQL databases. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Engineering.- 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 : PySpark, Python (Programming Language), AWS Architecture, Apache Spark 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 a balance of technical expertise and leadership skills to drive the project forward successfully. 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.- Mentor junior team members to enhance their skills and knowledge.- Facilitate regular team meetings to track progress and address any roadblocks. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark, Python (Programming Language), AWS Architecture, Apache Spark.- Strong understanding of data processing frameworks and distributed computing.- Experience with cloud services and architecture design.- Ability to optimize and troubleshoot performance issues in applications.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based in Mumbai.- 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 : PySpark Good to have skills : Python (Programming Language)Minimum 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 while ensuring alignment with organizational goals. You will also engage in strategic planning and decision-making to enhance application performance and user experience, fostering a culture of innovation and continuous improvement within your team. 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.- Mentor junior professionals to enhance their skills and knowledge.- Facilitate workshops and meetings to drive project objectives and gather feedback. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Python (Programming Language).- Strong understanding of data processing frameworks and distributed computing.- Experience with cloud platforms and services related to application development.- Familiarity with Agile methodologies and project management tools.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- 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 : Apache Spark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Mandatory 15 years of Fulltime qualification Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the application development process and ensure successful project delivery. 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- Lead the application design and development process- Coordinate with stakeholders to gather requirements- Ensure timely delivery of projects Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark- Strong understanding of big data processing- Experience with cloud platforms like AWS or Azure- Hands-on experience in application architecture design- Knowledge of programming languages such as Java or Scala Additional Information:- The candidate should have a minimum of 5 years of experience in Apache Spark- This position is based at our Pune office- A mandatory 15 years of Fulltime qualification is required Qualification Mandatory 15 years of Fulltime qualification

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 : Databricks Unified Data Analytics Platform Good to have skills : Microsoft Power Business Intelligence (BI), Microsoft Azure DatabricksMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in analyzing data requirements and translating them into effective solutions that align with the overall data strategy of the organization. Your role will require you to stay updated with the latest trends in data engineering and contribute to the continuous improvement of data processes and systems. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Engage in the design and implementation of data pipelines to support data integration and analytics.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Microsoft Azure Databricks, Microsoft Power Business Intelligence (BI).- Strong understanding of data modeling concepts and best practices.- Experience with ETL processes and data warehousing solutions.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad 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 : PySpark, Python (Programming Language), AWS Architecture, Apache Spark 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, addressing any challenges that arise, and providing guidance to your team members. You will also engage in strategic discussions to align project goals with organizational objectives, ensuring that the applications developed meet the highest standards of quality and functionality. Your role will require you to stay updated with industry trends and best practices to drive innovation within your team. 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 PySpark, Python (Programming Language), AWS Architecture, Apache Spark.- Good To Have Skills: Experience with data processing frameworks and tools.- Strong understanding of distributed computing principles.- Experience with cloud services and deployment strategies.- Familiarity with data warehousing concepts and ETL processes. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Databricks Unified Data Analytics Platform Good to have skills : Microsoft Power Business Intelligence (BI), Microsoft Azure DatabricksMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be responsible for analyzing data requirements and translating them into effective solutions that support the organization's data strategy. Additionally, you will participate in team meetings to share insights and contribute to the overall success of the data platform initiatives. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Engage in continuous learning to stay updated with the latest trends and technologies in data platforms.- Assist in the documentation of data architecture and design processes to ensure clarity and consistency across the team. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Microsoft Azure Databricks, Microsoft Power Business Intelligence (BI).- Strong understanding of data integration techniques and best practices.- Experience with data modeling and database design principles.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Role : Snowflake Practice Lead / Architect / Solution Architect Exp : 13+ Years Work Location : Hyderabad Position Overview : We are seeking a highly skilled and experienced - Snowflake Practice Lead- to drive our data strategy, architecture, and implementation using Snowflake. This leadership role requires a deep understanding of Snowflake's cloud data platform, data engineering best practices, and enterprise data management. The ideal candidate will be responsible for defining best practices, leading a team of Snowflake professionals, and driving successful Snowflake implementations for clients. Key Responsibilities : Leadership & Strategy : - Define and drive the Snowflake practice strategy, roadmap, and best practices. - Act as the primary subject matter expert (SME) for Snowflake architecture, implementation, and optimization. - Collaborate with stakeholders to understand business needs and align data strategies accordingly. Technical Expertise & Solutioning : - Design and implement scalable, high-performance data architectures using - Snowflake- . - Develop best practices for data ingestion, transformation, modeling, and security- within Snowflake. - Guide clients on Snowflake migrations, ensuring a seamless transition from legacy systems. - Optimize - query performance, storage utilization, and cost efficiency- in Snowflake environments. Team Leadership & Mentorship : - Lead and mentor a team of Snowflake developers, data engineers, and architects. - Provide technical guidance, conduct code reviews, and establish best practices for Snowflake development. - Train internal teams and clients on Snowflake capabilities, features, and emerging trends. Client & Project Management : - Engage with clients to understand business needs and design tailored Snowflake solutions. - Lead - end-to-end Snowflake implementation projects , ensuring quality and timely delivery. - Work closely with - data scientists, analysts, and business stakeholders- to maximize data utilization. Required Skills & Experience : - 10+ years of experience- in data engineering, data architecture, or cloud data platforms. - 5+ years of hands-on experience with Snowflake in large-scale enterprise environments. - Strong expertise in SQL, performance tuning, and cloud-based data solutions. - Experience with ETL/ELT processes, data pipelines, and data integration tools- (e.g., Talend, Matillion, dbt, Informatica). - Proficiency in cloud platforms such as AWS, Azure, or GCP, particularly their integration with Snowflake. - Knowledge of data security, governance, and compliance best practices . - Strong leadership, communication, and client-facing skills. - Experience in migrating from traditional data warehouses (Oracle, Teradata, SQL Server) to Snowflake. - Familiarity with Python, Spark, or other big data technologies is a plus. Preferred Qualifications : - Snowflake SnowPro Certification- (e.g., SnowPro Core, Advanced Architect, Data Engineer). - Experience in building data lakes, data marts, and real-time analytics solutions- . - Hands-on experience with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC)- in Snowflake environments. Why Join Us? - Opportunity to lead cutting-edge Snowflake implementations- in a dynamic, fast-growing environment. - Work with top-tier clients across industries, solving complex data challenges. - Continuous learning and growth opportunities in cloud data technologies. - Competitive compensation, benefits, and a collaborative work culture.

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 : PySpark Good to have skills : NAMinimum 7.5 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 to align application development with organizational goals, ensuring that the solutions provided are effective and efficient. Your role will require you to be proactive in identifying areas for improvement and implementing best practices to enhance team performance and project outcomes. 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 skills and capabilities.- Monitor project progress and ensure adherence to timelines and quality standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to application development.- Ability to troubleshoot and optimize performance issues in applications. Additional Information:- The candidate should have minimum 7.5 years of experience in PySpark.- This position is based in Chennai.- 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 : PySpark, AWS Architecture, Apache Spark Good to have skills : Python (Programming Language)Minimum 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 project goals are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application development with organizational objectives, ensuring that all stakeholders are informed and involved in key decisions 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.- Mentor junior team members to enhance their skills and knowledge.- Facilitate regular team meetings to track progress and address any roadblocks. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark, AWS Architecture, Apache Spark.- Good To Have Skills: Experience with Python (Programming Language).- Strong understanding of data processing frameworks and distributed computing.- Experience in application design and architecture best practices.- Familiarity with cloud services and deployment strategies. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Mumbai 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 : PySpark Good to have skills : Python (Programming Language)Minimum 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 while ensuring alignment with organizational goals. You will also engage in strategic planning to enhance application performance and user experience, making critical decisions that impact the overall success of the projects you oversee. 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.- Mentor junior team members to foster their professional growth and enhance team capabilities.- Continuously assess and improve application processes to increase efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Python (Programming Language).- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to application deployment.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Kolkata 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 : PySpark 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 be pivotal in driving innovation and efficiency within the application development lifecycle, fostering a collaborative environment that encourages team growth and success. 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: - Good to have skills - Pyspark, AWS, Airflow, Databricks, SQL, SCALA- Experience should be 6+ years in primary skill- Candidate must be a strong Hands-on senior Developer - As a lead, steer the team in completing their tasks and solve technical issues- Candidate must possess good technical / non-technical communication skills to highlight areas of concern/risks- Should have good troubleshooting skills to do RCA of prod support related issues- Prior experience working with senior client stakeholders is preferable. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Chennai office.- A 15-year full time education is required.- Candidate must be willing to work in Shift B i.e. from 11 AM IST to 9PM IST Qualification 15 years full time education

Azure Data Factory: - Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime - Hands-on knowledge of ADF activities(such as Copy, SP, lkp etc) and DataFlows - ADF data Ingestion and Integration with other services Azure Databricks: - Experience in Big Data components such as Kafka, Spark SQL, Dataframes, HIVE DB etc implemented using Azure Data Bricks would be preferred. - Azure Databricks integration with other services - Read and write data in Azure Databricks - Best practices in Azure Databricks Synapse Analytics: - Import data into Azure Synapse Analytics with and without using PolyBase - Implement a Data Warehouse with Azure Synapse Analytics - Query data in Azure Synapse Analytics

Skill required: Network Billing Operations - Problem Management Designation: Network & Svcs Operation Assoc Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Helps transform back office and network operations, reduce time to market and grow revenue, by improving customer experience and capex efficiency, and reducing cost-to-serveGood Customer Support Experience preferred with good networking knowledgeManage problems caused by information technology infrastructure errors to minimize their adverse impact on business and to prevent their recurrence by seeking the root cause of those incidents and initiating actions to improve or correct the situation. What are we looking for 5 years of programming skills- advanced level in relation to responsibility for maintenance of existing & creation of new queries via SQL scripts, Python, PySpark programming skills, experience with Databricks, Palantir is advantage, Direct active participation on GenAI and Machine Learning projects Other skills:Desire to learn and understand data models and billing processes Critical thinking Experience with reporting and metrics- strong numerical skills Experience in expense, billing, or financial management Experience in process/system management Good organizational skills, self-disciplined, systematic approach with good interpersonal skills Flexible, Analytical mind, Problem solver Knowledge of Telecom Products and Services Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Data Engineering at Easebuzz Pvt Ltd See all the jobs at Easebuzz Pvt Ltd here: Apply with Indeed About the Company Easebuzz is a payment solutions (fintech) company that enables online merchants to accept, process, and disburse payments through developer-friendly APIs. We are focused on building plug-and-play products including payment infrastructure to solve end-to-end business challenges across sectors. We re at the center of all things fintech: payments, lending, subscriptions, eKYC you name it. Easebuzz is where innovation meets execution. We have been consistently profitable and continue to scale rapidly, having grown 4x in the past year alone. Backed by a strong product roadmap and execution, we recently closed a fresh funding round of $30 million in 2025, led by leading VC firms and strategic investors. This comes in addition to our earlier $4 million fundraise in March 2021. Easebuzz has been granted Full Authorization from the Reserve Bank of India (RBI) for payment aggregator license in 2025. Our corporate culture is built on openness, ownership, and collaboration. We are an equal opportunity employer and celebrate diversity across all levels. At Easebuzz, you ll find yourself working with passionate colleagues who are committed to growing together. Headquartered in Pune, we also have a presence in Delhi, Mumbai, Kolkata, Bengaluru, and Gurugram. Role: Associate Manager (Research), Easebuzz Research & Innovation Lab Location: Pune, India Experience with ETL, Data Modeling, and Data Architecture Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue. Experience with AWS cloud data lake for development of real-time or near real-time use cases Experience with messaging systems such as Kafka/Kinesis for real time data ingestion and processing Build data pipeline frameworks to automate high-volume and real-time data delivery Create prototypes and proof-of-concepts for iterative development. Experience with NoSQL databases, such as DynamoDB, MongoDB etc Create and maintain optimal data pipeline architecture, Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Evangelize a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow

About Company Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew’s current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India. Job Description Key responsibilities: 1. Understand, implement, and automate ETL pipelines with better industry standards 2. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, design infrastructure for greater scalability, etc 3. Developing, integrating, testing, and maintaining existing and new applications 4. Design, and create data pipelines (data lake / data warehouses) for real world energy analytical solutions 5. Expert-level proficiency in Python (preferred) for automating everyday tasks 6. Strong understanding and experience in distributed computing frameworks, particularly Spark, Spark-SQL, Kafka, Spark Streaming, Hive, Azure Databricks etc 7. Limited experience in using other leading cloud platforms preferably Azure. 8. Hands on experience on Azure data factory, logic app, Analysis service, Azure blob storage etc. 9. Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works 10. Must have 5-7 years of experience

Must have a solid working knowledge of AWS database & data services and the Power BI stack Must have exp. in gathering requirements, modeling data, designing & supporting high-performance big data backend and data visualization systems Exp. in utilizing methodologies & platform stacks like Map Reduce, Spark, Streaming solutions (like Kafka, Kinesis), ETL systems (like Glue, Firehose), storage (like S3), warehouse stacks (like Redshift, DynamoDB) and equivalent open source stacks Exp. in designing & implementing solutions using visualization technologies like Power BI, Quick Sight Exp. in Maintain and continuously groom the product backlog, the release pipeline, and the product roadmap Capture problem statement and opportunities raised by customers as demand items, epics & stories. Lead database physical design sessions with the engineers in the team Lead quality assurance, load test of the solution to ensure customer experience is maintained. Support data governance and data quality (cleansing) Efforts. Aws Database, Big Data, Data Services, Powerbi Stack

Develop and optimize robust data pipelines using Python and SQL Collaborate with cross-functional teams to gather data requirements and deliver actionable insights Manage and scale data infrastructure, ensuring high performance and availability Leverage AWS services for data storage, processing, and orchestration (preferred) Build distributed data processing workflows using PySpark (preferred) Skills Required: Strong programming skills in Python Advanced SQL querying and database design Experience with cloud technologies (AWS preferred) Familiarity with PySpark and big data tools is a plus Excellent problem-solving and analytical mindset Aws, Pyspark, Python, Sql

Key Responsibilities: Team Leadership: Lead and mentor a team of Azure Data Engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct regular performance reviews and set development goals for team members. Organize training sessions to enhance team skills and technical capabilities. Azure Data Platform: Design, implement, and optimize scalable data solutions using Azure data services such as Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Ensure data engineering best practices and data governance are followed. Stay up-to-date with Azure data technologies and recommend improvements to enhance data processing capabilities. Data Architecture: Collaborate with data architects to design efficient and scalable data architectures. Define data modeling standards and ensure data integrity, security, and governance compliance. Project Management: Work with project managers to define project scope, goals, and deliverables. Develop project timelines, allocate resources, and track progress. Identify and mitigate risks to ensure successful project delivery. Collaboration & Communication: Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver data-driven solutions. Communicate effectively with stakeholders to understand requirements and provide updates. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience as a Team Lead or Manager in data engineering. Extensive experience with Azure data services and cloud technologies. Expertise in Azure Databricks, PySpark, and SQL. Strong understanding of data engineering best practices, data modeling, and ETL processes. Experience with agile development methodologies. Certifications in Azure data services (preferred). Preferred Skills: Experience with big data technologies and data warehousing solutions. Familiarity with industry standards and compliance requirements. Ability to lead and mentor a team.

Job Title:Data Engineer Lead / Architect (ADF)Experience9-12YearsLocation:Remote / Hybrid : Role and ResponsibilitiesTalk to client stakeholders, and understand the requirements for building their data warehouse / data lake / data Lakehouse. Design, develop and maintain data pipelines in Azure Data Factory (ADF) for ETL from on-premise and cloud based sources Design, develop and maintain data warehouses and data lakes in Azure Run large data platform and other related programs to provide business intelligence support Design and Develop data models to support business intelligence solutions Implement best practices in data modelling and data warehousing Troubleshoot and resolve issues related to ETL and data connections Skills Required: Excellent written and verbal communication skills Excellent knowledge and experience in ADF Well versed with ADLS Gen 2 Knowledge of SQL for data extraction and transformation Ability to work with various data sources (Excel, SQL databases, APIs, etc.) Knowledge in SAS would be added advantage Knowledge in Power BI would be added advantage

Job Title:Delivery ManagerExperience0-5 YearsLocation:Remote : We are seeking an experienced and results-driven Data and AnalyticsDelivery Manager to lead our data and analytics engagements. The ideal candidate willhave a strong background in overseeing the entire lifecycle of data and analytics projects,ensuring their alignment with business requirements, Adherence to timelines, andmaintenance of high-quality standards. The candidate will collaborate closely with diverseteams, stakeholders, and data experts to drive the successful implementation of data andanalytics solutions. Primary Skills Data Integration Tool (Any),Visualization Tool (Any),BigData,AWS,Azure,Profisee Secondary Skills : Role Description : The role of a Delivery Manager is pivotal in guaranteeing the efficient planning, execution,and completion of projects within an organization. This position encompasses thesupervision of project teams, the management of client relationships, and the assurancethat projects are delivered within specified timelines and budgets. Collaborating closelywith cross-functional teams, including project managers, developers, and variousstakeholders, the Delivery Manager strives to achieve the successful culmination ofprojects. Role Responsibility : Manage/Lead the end-to enddelivery of data and analyticsprojects from initiation tocompletion. Primary liaison coordinatingwith Customer/Onsite Architectfor overall execution of theproject. Responsible for managingwork stream leads anddeliverables. Responsible for overallimplementation strategyinclusive of testing strategy and Role Requirement : - Proven ability to lead Data & Analyticsprojects and ensure objectives, goals, andcommitments are met. - Substantial experience in Data & Analyticspractice in areas of data engineering (hands-onwork with data pipelines, ETL processes, anddata warehousing), BI & Visualization andAdvanced Analytics. - Knowledge of data analytics tools andtechnologies to effectively communicate withthe technical team. - Strong interpersonal skills includingmentoring, coaching, collaborating, and teambuilding. overall execution of theidentified work streams. - Assists in resolving issuesidentified by the project team(Technical, logistics,infrastructure, environment etc.) - Ensure prompt communicationto Customer in case of delayswith adequate supportingreasons for the delay. - Identify potential risks, issuesand scope change and developstrategies to mitigate them,ensuring smooth projectexecution. - Support the communicationplan and activities. - Supports PMO project statusupdates to the SteeringCommittee on a regular basisand follow escalation pathappropriately. - Works with Project Manager toassign resources for projects. - Bring thought leadership andinnovative ideas to build trustand relationship with internaland external stakeholders. - Drive continuous improvementinitiatives to enhance theefficiency and effectiveness ofdata and analytics deliveryprocesses. - Excellent oral and written communicationsskills and experience interacting with bothbusiness and IT individuals at all levelsincluding the executive level. - Strong leadership skills to guide the team andmotivate them towards project objectives. Additional Requirement

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : standard 15 years experience Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Your role will also include monitoring data workflows and troubleshooting any issues that arise, ensuring that data is accessible and reliable for stakeholders. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and optimize data pipelines to enhance data processing efficiency.- Collaborate with data scientists and analysts to understand data needs and provide necessary support. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A standard 15 years experience is required. Qualification standard 15 years experience

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Engineering Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a highly skilled and experienced ETL Lead with a strong background in Data Warehousing, ETL processes, and Big Data technologies. The ideal candidate should have hands-on experience with Cloudera tools, excellent SQL/PLSQL skills, and the ability to lead a team while working closely with clients in the Banking/Insurance domain. Roles & Responsibilities:Design, develop, and maintain end-to-end Data Warehouse and ETL solutions.Work extensively with SQL, PLSQL, Oracle, Hadoop, and Cloudera Data Platform tools (Spark, Hive, Impala).Lead a team of 4+ engineers, guiding both technical and operational tasks.Manage daily operations and provide L1/L2/L3 support, ensuring no SLA breaches.Collaborate with clients to understand requirements and provide scalable, reliable solutions.Conduct team meetings, client discussions, and knowledge transfer (KT) sessions.Utilize Shell scripting, Unix commands, and have working knowledge of Java/Python for task automation and integration.Ensure the team follows best practices in coding, documentation, and support.Stay up to date with new technologies and demonstrate a willingness to learn as per client needs.Be available to work from client location and travel daily as required.Proficient in analysing and rewriting legacy systems.Solid team leadership skills with experience managing 4+ people.Excellent communication and interpersonal skills.Demonstrated ability to manage operations and support teams efficiently.Willingness to work from the client location and travel as required.Proactive and positive attitude toward learning and adopting new technologies.Strong analytical skills and solution-oriented mindset.Ability to work under minimal supervision in a fast-paced environment. Professional & Technical Skills: 8+ years of experience in Data Warehousing and ETL Technologies.Strong expertise in SQL, PLSQL, Oracle, and Hadoop ecosystem.Hands-on experience with Spark, Hive, Impala on Cloudera Data Platform.Strong understanding of the Banking/Insurance domain.Understand legacy code and translate it effectively to modern technologies. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Engineering.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

So, what’s the role all about? Within Actimize, the AI and Analytics Team is developing the next generation advanced analytical cloud platform that will harness the power of data to provide maximum accuracy for our clients’ Financial Crime programs. As part of the PaaS/SaaS development group, you will be responsible for developing this platform for Actimize cloud-based solutions and to work with cutting-edge cloud technologies. We are looking for a Specialist software engineer with 8+ years of experience and a strong track record of leading the team as Scrum Master. You will play a key role in building advanced analytics Big data capabilities that power fraud prevention and Anti-Money Laundering solutions for some of the world’s largest financial institutions. How will you make an impact? NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions and has been consistently ranked as number one in the space. At NICE Actimize, we recognize that every employee’s contributions are integral to our company’s growth and success. To find and acquire the best and brightest talent around the globe, we offer a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. Come share, grow and learn with us – you’ll be challenged, you’ll have fun and you’ll be part of a fast-growing, highly respected organization. This new SaaS platform will enable our customers (some of the biggest financial institutes around the world) to create solutions on the platform to fight financial crime. Have you got what it takes? Design and develop quality, proficient and enterprise grade solutions in AWS cloud environment that satisfies business requirements. Work as part of the development team towards the application. Adhere and contribute to software best engineering practices. Work with software engineers, architects, and managers in the design process for software products and services. Work and collaborate in multi-disciplinary Agile teams, adopting Agile spirit, methodology and tools. Participate in reviewing design and code for other team members. Pro-actively contribute to process improvement activities. Test your code using Unit/System tests and automation. Fix bugs and care about enterprise grade quality. Assist support-team to resolve production issues as quickly as possible. Qualifications: Degree in Computer Science or a related discipline (BE/BTech/MTech/MCA) 7-10 years hands-on software development experience with Python/ETL Experience leading a team as Tech Lead or Scrum Master . 4 years+ Experience developing ETL/Big-Data in Spark using PySpark/Scala Experience working with PaaS/SaaS products. Experience with DevOps practices, CI/CD(Jenkins) & tools like JIRA, Confluence, Terraform Experience with micro services and docker containers. Huge advantage: Hands-on experience with AWS components like API Gateway, Glue, Lambda, Step-Function, S3, CloudWatch, DynamoDB, SQS, etc Excellent spoken/written English. Self-driven with a strong sense of ownership High caliber team player, self-starter and ability to work independently. Comfortable working with high volume data in cloud. Preferred Qualifications: Experience in finance or banking domains. What’s in it for you? Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7866 Reporting into: Tech Manager Role Type: Specialist Software Engineer

Experience with ETL processes and data warehousing Proficient in SQL and Python/Java/Scala Team Lead Experience