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A Technical Delivery Manager/Project Manager is required to join the team that will be delivering a large-scale business initiative.

The role is accountable for the technical delivery of a large-scale technical transformation project focusing on upgrading the network fabric of our key data centres. Delivery teams are located in various locations around the globe. 

Specific Responsibilities / Accountabilities:

• Technology delivery – lead the delivery across all technology teams in the workstream throughout the end to end delivery chain
• Planning - Accountable for all technology planning activities, including working closely with Workstream Lead to ensure technology plans are fully and correctly reflected in overall workstream plans and roadmaps
• Dependency management - Ensures all impacts of dependencies are addressed in the overall project plan. Effectively work across the organization to ensure all dependent teams are aligned with the project plans and schedules
• Risk and Issue Management – Ability to proactively manage risk and issues for the workstream in a timely manner and have the confidence to make decisions to mitigate or resolve when required. Work closely with workstream lead to ensure RAIDS are fully documented, mitigated and escalated as required.
• Leadership – Lead and work closely with all members of the team, including business analysts, architects, QA and development management to ensure all aspects from intake, requirements, design and testing are fit for purpose and delivered in a timely manner for planning and execution
• Team performance - Work closely with the Scrum Masters and Vendor management (where required) and QA to ensure the delivery performance of the teams throughout execution and identify opportunities to optimize to improve timeliness, throughput and quality.
• Problem solving and decision making – sound judgment at a senior management level using assertiveness and influencing skills to ensure items are discussed and decisions made and agreed in a timely manner
• Governance – Manage any workstream technology team governance and adhere to the overall programme governance to ensure all stakeholders and team members are aligned and effective in delivery
• Reporting – Ensure reporting is provided as required on a regular basis against roadmap, plans and any performance KPI’s and OKR’s for your teams
• Communication - Working closely and collaboratively with the Project management office to identify and manage all stakeholders, providing visibility and transparency
• Financial Management and Project Accounting – Providing the critical data required for the project management function to monitor and track financial health, analysing resource requirements across multiple projects or across programmes to meet strategic goals

Essential Skills/Experience Required:

• Experience in running scaled agile teams
• Previous experience of working in a large scale, Top Tier Investment Bank or for a wider Financial Services Organisation
• Experience of setting up and working on a Greenfield Programme of work
• Proven experience in delivering large-scale technical programmes in a hands-on capacity
• A software delivery background would be highly beneficial due to the technical nature of the deliverables
• Extensive stakeholder management experience up to senior level, alongside the management of external vendor relationships
• Experience of working in a complex, high-paced environment with a global team
• Excellent communication skills both written and verbal

Key Stakeholders

• Workstream Lead
• PMO
• Scrum Masters/Scrum of Scrums
• Other Delivery Managers for dependencies
• Development leads
• QA Lead
• Product Owners
• Business Sponsors
• Lead BA
• Lead Solutions architects
• Service (Release to BAU)

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Responsibilities

• Design and develop scalable web applications using Java and Angular/React
• Collaborate with cross-functional teams to define, design, and ship new features
• Maintain code quality through code reviews and automated testing
• Implement RESTful APIs to support front-end functionality
• Troubleshoot and debug applications to ensure optimal performance
• Participate in agile development processes and contribute to continuous improvement

Qualifications

• Bachelor's degree in Computer Science or related field
• 3+ years of experience in full stack development using Java and Angular/React
• Strong understanding of front-end technologies like HTML, CSS, and JavaScript
• Experience with back-end development including RESTful API design
• Familiarity with database technologies such as SQL and NoSQL
• Excellent problem-solving skills and attention to detail

·      Edit raw footage into cohesive, engaging, and visually polished course videos.

·      Add motion graphics, captions, transitions, animations, and branding elements.

·      Enhance audio quality and synchronize audio-visual elements effectively.

·      Develop interactive video components using tools like H5P, Adobe Captivate, or Camtasia.

·      Integrate clickable elements, quizzes, and branching scenarios within videos.

·      Package and export interactive content in SCORM/xAPI formats for LMS deployment.

·      Ensure video outputs are optimized for accessibility, device compatibility, and web delivery.

·      Collaborate closely with instructional designers, voice-over artists, animators, and developers.

·      Maintain structured organization of video assets, backups, and project versioning.

About the Company

Company provides users with the opportunity to invest in gold, government bonds, crypto currencies and other investment products to grow their savings.

For Gold and S&P500 products, This company is affiliated with PT PG Berjangka that is licensed under Bappebti. We ensure all transaction that you do in. The Platform is 100% secured.We are trusted by leading big tech companies in Indonesia sell Pluang Investment products in their platform and applications (GoInvestasi by Gojek, Dana eMAS by Dana and BukaEmas by Bukalapak)

URL - http://pluang.com/

Inception - 2018

Funding - Company has raised a total of $23M in funding over 2 rounds. Their latest funding was raised on Mar 22, 2021 from a Series B round. The company is funded by 2 investors. Openspace Ventures and Go-Ventures are the most recent investors.

Position - Full Stack Engineer

Location - Gurgaon (Remote for now)

Job Description:

You will be working with a team of highly-motivated, young & dynamic teams of engineers & reporting to the Engineering Lead.

Position Responsibilities:

Be honest, reliable & consistent

Write efficient & clean code

Have a strong sense of ownership

Be a part of development & maintenance of companies web app, Operations dashboard and other 3rd party products we own

Contribute to improving the quality of engineering process & engineering culture

Position Requirements

Strong in data structure and algorithms

Experience in Java (Mandatory)

Understanding of component based design or other design patterns

Experience with unit testing, integration testing & continuous integration

Good to have passion for investing

• Work experience as a Python Developer
• Expertise in at least one popular Python framework (like Django, Flask or Pyramid)
• Knowledge of object-relational mapping (ORM)
• Familiarity with front-end technologies (like JavaScript and HTML5)
• Team spirit
• Good problem-solving skills
• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs
• Improve functionality of existing systems
• Implement security and data protection solutions

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.

What You Will Be Doing:

• Create highly responsive B2C web-app using a wide range of open source frontend and backend technology.
• Create single page applications using wide range of javascript & cutting edge libraries/frameworks.
• Responsible for the full lifecycle of a project, including development, unit testing, system testing and change management.
• Research technical issues and provides recommendations to enhance JavaScript products.
• Working with multiple projects.

What we are looking for:

• Bachelor’s degree in Computer Science or equivalent preferably from IIT,NIT & other premier institutes.
• Rockstar JavaScript developer, who appreciates the intricacies of JS as well as passionate to follow new trends in JS.
• Experience with product companies.
• 4-9 yrs of software development on advanced JavaScript stack (Native JavaScript, Asynchronous Request Handling, AJAX, HTML5, CSS3, etc).
• In-depth knowledge in ReactJS & NodeJS
• Proficiency in any other modern web frameworks will be a plus.
• A solid knowledge of advanced data structures & algorithms.
• Proficient in Computer Science fundamentals & object-oriented design.
• Solid understanding of cross-browser compatibility issues and ways to tackle those.
• Must possess a track record of building Single Page responsive UI.
• Experience with Databases such as NoSQL and any RDBMS will be a plus.
• Experience with transport protocols such as TCP, HTTP & WebSocket.
• Expressing and appreciating design patterns is a real addition.
• Critical of coding practices and development methodologies