Salesforce Tester

Data Engineer  

Overview 

We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making. 

Our core data platform stack includes: 

Data Platform & Lakehouse 

• Databricks as the single point of truth for all data
• Realtime Data Pipelines implemented using Kafka for data ingestion.
• Databricks SQL for analytical queries 
• Unity Catalog for metadata management and governance 
• Terradata for data warehouse and business intelligence.

Stream & Event Processing 

• Apache Kafka for real-time event ingestion 
• Structured Streaming for continuous data processing 
• Delta Live Tables for declarative, quality-enforced pipelines  

Data Quality 

• Delta Live Tables expectations for data validation 
• Data profiling and anomaly detection 

Key Responsibilities 

• Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake 
• Build real-time and batch data ingestion pipelines from diverse operational systems using high-performance Kafka data pipelines.
• Implement data transformations that serve digital twin platforms and operational analytics 
• Integrate Kafka event streams with Databricks for real-time operational state updates 
• Implement data quality checks using Delta Live Tables expectations 
• Ensure data governance compliance through Unity Catalog (lineage, access control, metadata) 
• Optimize pipeline performance, reliability, and cost efficiency 
• Write clean, well-documented, and testable code following engineering best practices 
• Collaborate with ML engineers to deliver feature-engineered datasets 
• Participate in code reviews, knowledge sharing, and continuous improvement initiatives 
• Support production data systems through monitoring, troubleshooting, and incident resolution.
• Build business data warehouse solutions using Terradata for business intelligence.

Preferred Qualifications 

• 7+ years of hands-on data engineering experience 
• Track record of building and maintaining production-grade data pipelines 
• Experience with Delta Live Tables for declarative pipeline development 
• Experience working in agile, cross-functional teams 
• Familiarity with time-series data patterns and operational data modelling 

Highly Desirable 

• Experience building data pipelines for digital twin or simulation platforms 
• Familiarity with operational state modeling for real-time systems 
• Exposure to physics-informed or time-series ML feature engineering 
• Experience working with distributed, multidisciplinary teams 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time

Job Description :

We are seeking a highly experienced Sr Data Modeler / Solution Architect to join the Data Architecture team at Corporate Office in Bangalore. The ideal candidate will have 4 to 8 years of experience in data modeling and architecture with deep expertise in AWS cloud stack, data warehousing, and enterprise data modeling tools. This individual will be responsible for designing and creating enterprise-grade data models and driving the implementation of Layered Scalable Architecture or Medallion Architecture to support robust, scalable, and high-quality data marts across multiple business units.

This role will involve managing complex datasets from systems like PoS, ERP, CRM, and external sources, while optimizing performance and cost. You will also provide strategic leadership on data modeling standards, governance, and best practices, ensuring the foundation for analytics and reporting is solid and future-ready.

Key Responsibilities:

·               Design and deliver conceptual, logical, and physical data models using tools like ERWin.

·               Implement Layered Scalable Architecture / Medallion Architecture for building scalable, standardized data marts.

·               Optimize performance and cost of AWS-based data infrastructure (Redshift, S3, Glue, Lambda, etc.).

·               Collaborate with cross-functional teams (IT, business, analysts) to gather data requirements and ensure model alignment with KPIs and business logic.

·               Develop and optimize SQL code, materialized views, stored procedures in AWS Redshift.

·               Ensure data governance, lineage, and quality mechanisms are established across systems.

·               Lead and mentor technical teams in an Agile project delivery model.

·               Manage data layer creation and documentation: data dictionary, ER diagrams, purpose mapping.

·               Identify data gaps and availability issues with respect to source systems.

Required Skills & Qualifications:

·               Bachelor’s or Master’s degree in Computer Science, IT, or related field (B.E./B.Tech/M.E./M.Tech/MCA).

·               Minimum 4 years of experience in data modeling and architecture.

·               Proficiency with data modeling tools such as ERWin, with strong knowledge of forward and reverse engineering.

·               Deep expertise in SQL (including advanced SQL, stored procedures, performance tuning).

·               Strong experience in data warehousing, RDBMS, and ETL tools like AWS Glue, IBM DataStage, or SAP Data Services.

·               Hands-on experience with AWS services: Redshift, S3, Glue, RDS, Lambda, Bedrock, and Q.

·               Good understanding of reporting tools such as Tableau, Power BI, or AWS QuickSight.

·               Exposure to DevOps/CI-CD pipelines, AI/ML, Gen AI, NLP, and polyglot programming is a plus.

·               Familiarity with data governance tools (e.g., ORION/EIIG).

·               Domain knowledge in Retail, Manufacturing, HR, or Finance preferred.

·               Excellent written and verbal communication skills.

Certifications (Preferred):

·               AWS Certification (e.g., AWS Certified Solutions Architect or Data Analytics – Specialty)

·               Data Governance or Data Modeling Certifications (e.g., CDMP, Databricks, or TOGAF)

Mandatory Skills

aws, Technical Architecture, Aiml, SQL, Data Warehousing, Data Modelling

Tech Stack: Power BI, DAX, SQL, Microsoft Fabric

The Role

You are the bridge between raw data and business decisions.You will be responsible for taking processed data and transforming it into high-performance, scalable semantic models. Your goal is to ensure that the data is structured so perfectly that building a report becomes the easiest part of the job.

Key Responsibilities

• Semantic Architecture: Design and build Star Schemas that serve as the single source of truth.
• Gold Layer Ownership: Transform Silver-layer tables into business-ready dimensions and facts.
• Advanced DAX: Write clean, optimized DAX for complex business logic (not just basic sums).
• Visual Storytelling: Build intuitive Power BI reports that focus on clarity and actionable insights.
• Performance Tuning: Optimize models for fast load times, query folding, and efficient refreshes.
• Stakeholder Sync: Work with clients to define KPIs and ensure the model actually answers their questions.

What We’re Looking For

• Modeling DNA: You think in Star Schemas and understand why a flat table is a bad idea for Power BI.
• DAX Proficiency: Deep understanding of Filter vs. Row context and time-intelligence functions.
• SQL Fluency: You can write complex queries to validate your models against the source data.
• Visual Logic: You have a sharp eye for UI/UX—no cluttered dashboards or "chart junk."
• Fabric Familiarity: Experience with (or a strong desire to learn) the Microsoft Fabric ecosystem.

Why Work With Us?

• Microsoft Partner Edge: Hands-on with the latest Fabric and Power BI features before they go mainstream.
• Flat Hierarchy
• Technical Autonomy: You own the Gold layer architecture; you set the modeling standards.
• High-Stakes Projects: Solve real data problems for enterprise clients in Healthcare and Government.
• Career Growth: Structured learning paths to master the wider Azure Data & AI stack.
• Competitive Pay
• Flexible Hours

Job Title: GCP Data Architect

Location: Madurai

Experience: 12+ Years

Notice Period: Immediate 

About TechMango

TechMango is a rapidly growing IT Services and SaaS Product company that helps global businesses with digital transformation, modern data platforms, product engineering, and cloud-first initiatives. We are seeking a GCP Data Architect to lead data modernization efforts for our prestigious client, Livingston, in a highly strategic project.

Role Summary

As a GCP Data Architect, you will be responsible for designing and implementing scalable, high-performance data solutions on Google Cloud Platform. You will work closely with stakeholders to define data architecture, implement data pipelines, modernize legacy data systems, and guide data strategy aligned with enterprise goals.

Key Responsibilities:

• Lead end-to-end design and implementation of scalable data architecture on Google Cloud Platform (GCP)
• Define data strategy, standards, and best practices for cloud data engineering and analytics
• Develop data ingestion pipelines using Dataflow, Pub/Sub, Apache Beam, Cloud Composer (Airflow), and BigQuery
• Migrate on-prem or legacy systems to GCP (e.g., from Hadoop, Teradata, or Oracle to BigQuery)
• Architect data lakes, warehouses, and real-time data platforms
• Ensure data governance, security, lineage, and compliance (using tools like Data Catalog, IAM, DLP)
• Guide a team of data engineers and collaborate with business stakeholders, data scientists, and product managers
• Create documentation, high-level design (HLD) and low-level design (LLD), and oversee development standards
• Provide technical leadership in architectural decisions and future-proofing the data ecosystem

Required Skills & Qualifications:

• 10+ years of experience in data architecture, data engineering, or enterprise data platforms
• Minimum 3–5 years of hands-on experience in GCP Data Service
• Proficient in:BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Cloud SQL/Spanner
• Python / Java / SQL
• Data modeling (OLTP, OLAP, Star/Snowflake schema)
• Experience with real-time data processing, streaming architectures, and batch ETL pipelines
• Good understanding of IAM, networking, security models, and cost optimization on GCP
• Prior experience in leading cloud data transformation projects
• Excellent communication and stakeholder management skills

Preferred Qualifications:

• GCP Professional Data Engineer / Architect Certification
• Experience with Terraform, CI/CD, GitOps, Looker / Data Studio / Tableau for analytics
• Exposure to AI/ML use cases and MLOps on GCP
• Experience working in agile environments and client-facing roles

What We Offer:

• Opportunity to work on large-scale data modernization projects with global clients
• A fast-growing company with a strong tech and people culture
• Competitive salary, benefits, and flexibility
• Collaborative environment that values innovation and leadership

Deployment Oversight: Serve as the central point of contact for all financial solution

deployment activities, ensuring seamless execution and coordination.

● Monitoring and Tracking: Utilize project management tools and software to monitor the

progress of deployments, identifying any deviations from the planned timeline or scope.

● Issue Resolution: Proactively identify and address deployment issues and roadblocks,

collaborating with cross-functional teams to find timely solutions.

● Communication Hub: Facilitate clear and timely communication between internal

stakeholders and external clients regarding deployment status, updates, and

escalations.

● Risk Management: Assess deployment risks and develop mitigation strategies to

minimize disruptions and ensure successful project outcomes.

● Performance Analysis: Analyze deployment metrics and key performance indicators to

evaluate the efficiency and effectiveness of deployment processes, driving continuous

improvement.

● Documentation and Reporting: Maintain accurate records of deployment activities,

including timelines, milestones, issues, and resolutions. Generate regular reports for

management review.

● Stakeholder Engagement: Build strong relationships with key stakeholders, including

internal teams, clients, and third-party vendors, to foster collaboration and alignment

throughout the deployment process.

Desired Candidate Profiles:-

● Bachelor’s degree in Business Administration, Finance, Project Management, or a

related field. Advanced degree or certification is a plus.

● Proven experience in project management or deployment coordination roles, preferably

in the financial services or technology industry.

● Strong organizational skills with the ability to manage multiple projects simultaneously

and prioritize tasks effectively.

● Excellent communication and interpersonal skills, with the ability to convey complex

information clearly and concisely

💥 What will you do?

As a Backend Engineer, you will

• Create and maintain server-side code
• Designing database schemas to support business requirements
• Building reusable code and libraries for future use
• Troubleshoot and debug applications
• Write unit tests
• Stay up to date with current best practices
• Collaborate with front end engineers
• Optimization of the application for maximum speed and scalability
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with web-application-related technical issues and support their requirements.

🙋 What are we looking for? 

While we do not have a strict list of requirements for candidates interested in this role, some indicators that you would fit this role and our engineering culture are 

• 2+ years of relevant work experience as a Backend engineer using Python frameworks like Django, Flask, etc
• Experience with relational databases like MySQL, PostgreSQL
• Good understanding of OOP concepts
• Understanding of code versioning tools, such as Git
• Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3.
• Experience writing unit tests for the application is a plus
• Experience with building REST APIs
• Superior analytical, conceptual, and problem-solving skills.
• Strong verbal and written communication skills in English.

• Customer Service - Delivering efficient and friendly responses to customer across different channels (main responsibility)
• Credit Risk - Evaluate loan applications for new borrowers applying for Branch loans, find and prevent fraud (main responsibility)
• Servicing & Collections - Proactively reaching out to borrowers who have missed payments
• Product - Escalating customer feedback and IT bugs to help improve our product
• Finance - Manage refunds, repayments, and other payment processes
• General - various administrative projects as needed

• 1-2 years of previous job experience in customer service
• Passionate about our mission and our customers
• Highly entrepreneurial, proactive, and willing to get your hands dirty
• Excellent communication skills, both oral and written
• Good grammar, spelling and punctuation
• Driven by data and highly analytical, good understanding of excel preferred
• Good typing speed (ideally above 45 wpm)
• Ideal candidates will be extremely flexible with scheduling e.g. willing to work on weekends and occasionally holidays

• You are required to take an online typing speed test through the link below
• Go to http://www.typingtest.com/">http://www.typingtest.com/ to complete a type speed test.
• On the left, select English, 1 minute, and Aesop's Fables.
• Click the green "Start Test" button.
• Please upload a screen shot of your typing test results as part of your cover letter.