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Job Title : GoldenSource Technical Consultant

Experience : 7+ Years

Location : Pan India (Hybrid)

Notice Period : Immediate Joiners or Serving max. 10 to 15 Days

Interview Mode : Virtual

Job Description :

We are looking for a skilled GoldenSource Technical Consultant / Developer with extensive experience in implementing and customizing GoldenSource v8.x for financial institutions. The ideal candidate should possess strong technical knowledge of security reference data management and hands-on experience working with market data vendors.

Mandatory Skills :

GoldenSource v8.x, Security Master, Workflow & UI Development, Bloomberg/Reuters Integration, Oracle/PostgreSQL, JBoss/JMS.

Key Responsibilities :

• Lead and implement GoldenSource v8.x in financial services environments.
• Deep understanding of GoldenSource Security Master v8.x, including architecture and data model.
• Design and develop workflows, connectors, and UI components within GoldenSource.
• Manage and handle Security Reference Data effectively.
• Integrate with data vendors like Bloomberg, Reuters, etc.
• Understand and apply knowledge of financial instruments and capital markets.
• Work with RDBMS platforms such as Oracle or PostgreSQL.
• Collaborate using tools such as JIRA, Confluence, and middleware technologies like JBoss and JMS.

Role & Responsibilities

• Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
• Design atomic star schema data models (fact and dimension tables) across multiple business domains
• Define and implement aggregation and KPI layers aligned to business reporting requirements
• Establish data modelling standards, naming conventions, and design patterns across teams
• Ensure alignment with enterprise data strategy and roadmap
• Translate business processes into scalable and reusable data models
• Write and review SQL, Python, and Spark code for pipelines and transformations
• Build and validate data models in Snowflake or Databricks
• Deliver pipelines using AWS services (S3, Glue, Athena)
• Perform data reconciliation and validation across layers (source → curated → BI)
• Ensure data quality, consistency, and integrity across the pipeline
• Own end-to-end SDLC (requirements → design → build → test → release → operate)
• Lead and unblock data engineers and analysts on day-to-day delivery
• Identify blockers, dependencies, and risks early, and propose solutions
• Align delivery with programme roadmap and milestones
• Track execution using Jira and maintain documentation in Confluence
• Gather and validate requirements across multiple business domains
• Translate business requirements into technical designs and data models
• Communicate architecture decisions clearly to non-technical stakeholders
• Drive cross-team alignment to ensure consistent, reliable, and trusted outputs

Ideal Candidate

• Strong Data Architect Profile (AWS / Medallion Architecture / Analytics Transformation)
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Engineering / Data Architecture with strong exposure to large-scale analytics transformation programmes
• Mandatory (Experience 2) – Strong hands-on experience designing and implementing Medallion Architecture (Bronze / Silver / Gold layers) on AWS-based data platforms
• Mandatory (Experience 3) – Strong hands-on experience with Snowflake or Databricks, including data modelling, performance optimization, transformation pipelines, and scalable data warehouse implementations
• Mandatory (Experience 4) – Must have strong expertise in advanced SQL including complex joins, CTEs, window functions, query optimization, and performance tuning
• Mandatory (Experience 5) – Must have Hands-on development experience with Python and Apache Spark/PySpark for large-scale data transformation and processing pipelines
• Mandatory (Experience 6) – Strong experience working with AWS data services including S3, Glue, Athena, and cloud-native analytics/data lake architectures
• Mandatory (Experience 7) – Strong experience in end-to-end ETL/ELT pipeline development including ingestion, transformation, reconciliation, validation, testing, deployment, and production support
• Mandatory (Experience 8) – Experience working across transaction-heavy enterprise domains such as Finance, Supply Chain, HR, Customer, or Operations datasets
• Mandatory (Note) – Only immediate joiners or candidates who can join within 15 days will be considered
• Preferred (Experience) – Experience working with ERP / enterprise systems such as SAP, Oracle, Salesforce, or similar enterprise platforms
• Preferred (Frameworks) – Familiarity with APQC, SCOR, or enterprise process modelling frameworks is an added advantage

• Technical expertise in the area of development of Master Data Management, data extraction, transformation, and load (ETL) applications, big data using existing and emerging technology platforms and cloud architecture

• Functions as lead developer• Support System Analysis, Technical/Data design, development, unit testing, and oversee end-to-end data solution.

• Technical SME in Master Data Management application, ETL, big data and cloud technologies                                                                                               

• Collaborate with IT teams to ensure technical designs and implementations account for requirements, standards, and best practices                                                                                           

• Performance tuning of end-to-end MDM, database, ETL, Big data processes or in the source/target database endpoints as needed.                                                               

• Mentor and advise junior members of team to provide guidance.                                                  

• Perform a technical lead and solution lead role for a team of onshore and offshore developers

Role Overview

We are looking for a skilled Software Engineer with strong Python backend development expertise and hands-on experience in Google Cloud Platform (GCP). The role involves building scalable, cloud-native applications, APIs, and automation solutions while following modern SDLC and DevOps best practices.

Key Responsibilities

• Develop and maintain backend services using Python, including APIs, automation, and data processing.
• Design and implement cloud-native solutions on GCP, leveraging services such as Cloud Run, Cloud Functions, Firestore, Compute Engine, and App Engine.
• Contribute to system design and architecture discussions, focusing on scalability and microservices.
• Follow SDLC best practices, writing clean, modular, and testable code using OOP principles and design patterns.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Support CI/CD pipelines, version control, and automated testing as part of DevOps practices.
• Willing to work in shifts.

Required Skills & Qualifications

Certifications

• Google Cloud Associate or Professional Certification preferred.
• Other relevant cloud or software certifications are a plus.

Python

• Strong proficiency in backend development, API creation, automation, and data manipulation.

GCP

• Practical experience with GCP services, especially serverless or compute-based offerings.

System Design

• Good understanding of scalable architectures and microservices concepts.

SDLC & OOP

• Solid grasp of object-oriented programming, design patterns, and clean code practices.

DevOps

• Working knowledge of Git, CI/CD pipelines, automated testing, and Infrastructure as Code (IaC).

Company Overview

We are a dynamic startup dedicated to empowering small businesses through innovative technology solutions. Our mission is to level the playing field for small businesses by providing them with powerful tools to compete effectively in the digital marketplace. Join us as we revolutionize the way small businesses operate online, bringing innovation and growth to local communities.

Job Description

We are seeking a skilled and experienced Data Engineer to join our team. In this role, you will develop systems on cloud platforms capable of processing millions of interactions daily, leveraging the latest cloud computing and machine learning technologies while creating custom in-house data solutions. The ideal candidate should have hands-on experience with SQL, PL/SQL, and any standard ETL tools. You must be able to thrive in a fast-paced environment and possess a strong passion for coding and problem-solving.

Required Skills and Experience

• Minimum 5 years of experience in software development.
• 3+ years of experience in data management and SQL expertise – PL/SQL, Teradata, and Snowflake experience strongly preferred.
• Expertise in big data technologies such as Hadoop, HiveQL, and Spark (Scala/Python).
• Expertise in cloud technologies – AWS (S3, Glue, Terraform, Lambda, Aurora, Redshift, EMR).
• Experience with queuing systems (e.g., SQS, Kafka) and caching systems (e.g., Ehcache, Memcached).
• Experience with container management tools (e.g., Docker Swarm, Kubernetes).
• Familiarity with data stores, including at least one of the following: Postgres, MongoDB, Cassandra, or Redis.
• Ability to create advanced visualizations and dashboards to communicate complex findings (e.g., Looker Studio, Power BI, Tableau).
• Strong skills in manipulating and transforming complex datasets for in-depth analysis.
• Technical proficiency in writing code in Python and advanced SQL queries.
• Knowledge of AI/ML infrastructure, best practices, and tools is a plus.
• Experience in analyzing and resolving code issues.
• Hands-on experience with software architecture concepts such as Separation of Concerns (SoC) and micro frontends with theme packages.
• Proficiency with the Git version control system.
• Experience with Agile development methodologies.
• Strong problem-solving skills and the ability to learn quickly.
• Exposure to Docker and Kubernetes.
• Familiarity with AWS or other cloud platforms.

Responsibilities

• Develop and maintain our inhouse search and reporting platform
• Create data solutions to complement core products to improve performance and data quality
• Collaborate with the development team to design, develop, and maintain our suite of products.
• Write clean, efficient, and maintainable code, adhering to coding standards and best practices.
• Participate in code reviews and testing to ensure high-quality code.
• Troubleshoot and debug application issues as needed.
• Stay up-to-date with emerging trends and technologies in the development community.

How to apply?

• If you are passionate about designing user-centric products and want to be part of a forward-thinking company, we would love to hear from you. Please send your resume, a brief cover letter outlining your experience and your current CTC (Cost to Company) as a part of the application.

Join us in shaping the future of e-commerce!

5+ years of experience designing, developing, validating, and automating ETL processes 3+ years of experience traditional ETL tools such as Visual Studio, SQL Server Management Studio, SSIS, SSAS and SSRS 2+ years of experience with cloud technologies and platforms, such as: Kubernetes, Spark, Kafka, Azure Data Factory, Snowflake, ML Flow, Databricks, Airflow or similar Must have experience with designing and implementing data access layers Must be an expert with SQL/T-SQL and Python Must have experience in Kafka Define and implement data models with various database technologies like MongoDB, CosmosDB, Neo4j, MariaDB and SQL Serve Ingest and publish data from sources and to destinations via an API Exposure to ETL/ELT with using Kafka or Azure Event Hubs with Spark or Databricks is a plus Exposure to healthcare technologies and integrations for FHIR API, HL7 or other HIE protocols is a plus

Skills Required :

Designing, Developing, ETL, Visual Studio, Python, Spark, Kubernetes, Kafka, Azure Data Factory, SQL Server, Airflow, Databricks, T-SQL, MongoDB, CosmosDB, Snowflake, SSIS, SSAS, SSRS, FHIR API, HL7, HIE Protocols

Duck Creek Platform in general, agile/scrum, change orientation and effective communication :

• Responsible for development of complex configuration in Duck Creek application
• Work with Business and subject matter experts to gather and validate the requirements
• Work with development lead on designing solutions
• Provide guidance or mentorship to the team where applicable
• Provide inputs to testing scope and review artifacts
• Provide support to test events and support elevate activities
• Identify, escalate and mitigate challenges in delivery both from technical and functional stand point.
• Designs, develops, troubleshoots, debugs, and implements Duck Creek Rating & Policy to build new insurance products and lines of business that meet all business & technical requirements
• Integrates applications with backend databases, third party API's and other Data sources.
• Researches, tests, builds and coordinates the integration of new products and services per business requirements.

➢    Expert in React JS with about 4 years of experience

➢    Experience in using libraries like D3, Material UI, style sheets and theme management

➢    Should be able to understand requirements & design, develop efficient React JS Code, should have used tools to automate the test and deployment to production

➢    Should have good knowledge on REST APIs, Error handling and writing Unit and Integration Tests

➢    Knowledge of Java is desirable

Responsibilities

➢    Understand the Visual Designs, Functional Requirements and come up with the design/components needed to build the user interface.

➢    Work with Visual Designers to understand the graphic design patterns, themes, and implement in a structured way in the product front end

➢    Work with server side microservices team to develop the JSON contracts

➢    Develop efficient React JS code to implement these requirements

➢    Automate the testing and deployment of these components to production

We are looking for an experienced engineer with superb technical skills. You will primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a bias towards taking action. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

Experience

12+ Years

Location

Hyderabad

Skills

Bachelors/Masters/Phd in CS or equivalent industry experience

10+ years of industry experience in java related frameworks such as Spring and/or Typesafe

Experience with scripting languages. Python experience highly desirable. 5+ Industry experience in python

Experience with popular modern web frameworks such as Spring boot, Play framework, or Django

Demonstrated expertise of building and shipping cloud native applications

Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd

Experience in API development using Swagger

Strong expertise with containerization technologies including kubernetes, docker-compose

Experience with cloud platform services such as AWS, Azure or GCP.

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as Git

Familiarity with continuous integration, Jenkins

Responsibilities

Architect, Design and Implement Large scale data processing pipelines

Design and Implement APIs

Assist in dev ops operations

Identify performance bottlenecks and bugs, and devise solutions to these problems

Help maintain code quality, organization, and documentation

Communicate with stakeholders regarding various aspects of solution.

Mentor team members on best practices