Techsophy Information Solutions Private Limited

Company Description

TECHSOPHY specializes in productizing solutions based on new technology, focusing on emerging platforms of BPM & ECM, Low Code, AI (ML/RPA/NLP). Founded in 2009, TECHSOPHY operates with headquarters in California, USA, and regional offices in Dubai, UAE, and an offshore innovation center in Hyderabad, India.

Qualifications

• Solid Fundamentals and exceptional problem-solving skills
• Solid and fluent understanding of algorithms and data structures
• Proficiency in Scala + Spark
• Proficiency in Scala + Play framework
• Experience Range: 4 to 7 Years

Requirement:

Some or all of them – because we believe intelligent people can pick up whatever they need in a short period of time. You just need to prove that you can:

• Excellent programming skills and knowledge of Java / Scala
• Excellent software design, problem-solving, and debugging skills
• Experience with modern Big Data technologies such as Spark, NoSQL, Cassandra, Kafka, MapReduce, and the Hadoop ecosystem is a must-have
• Experience with data analytics and the ability to mine data to obtain insights are much appreciated

Role Overview

We are looking for a Senior Data Quality Engineer who is passionate about building reliable and scalable data platforms. In this role, you will ensure high-quality, trustworthy data across pipelines and analytics systems by designing robust data ingestion frameworks, implementing data quality checks, and optimizing data transformations.

You will work closely with data engineers, analytics teams, and product stakeholders to ensure data accuracy, consistency, and reliability across the organization.

Key Responsibilities

• Cleanse, normalize, and enhance data quality across operational systems and new data sources flowing through the data platform.
• Design, build, monitor, and maintain ETL/ELT pipelines using Python, SQL, and Airflow.
• Develop and optimize data models, tables, and transformations in Snowflake.
• Build and maintain data ingestion workflows, including API integrations, file ingestion, and database connectors.
• Ensure data reliability, integrity, and performance across pipelines.
• Perform comprehensive data profiling to understand data structures, detect anomalies, and resolve inconsistencies.
• Implement data quality validation frameworks and automated checks across pipelines.
• Use data integration and data quality tools such as Deequ, Great Expectations (GX), Splink, Fivetran, Workato, Informatica, etc., to onboard new data sources.
• Troubleshoot pipeline failures and implement data monitoring and alerting mechanisms.
• Collaborate with engineering, analytics, and product teams in an Agile development environment.

Required Technical Skills

Core Technologies

• Strong hands-on experience with SQL
• Python for data transformation and pipeline development
• Workflow orchestration using Apache Airflow
• Experience working with Snowflake data warehouse

Data Engineering Expertise

• Strong understanding of ETL / ELT pipeline design
• Data profiling and data quality validation techniques
• Experience building data ingestion pipelines from APIs, files, and databases
• Data modeling and schema design

Tools & Platforms

• Data Quality Tools: Deequ, Great Expectations (GX), Splink
• Data Integration Tools: Fivetran, Workato, Informatica
• Cloud Platforms: AWS (preferred)
• Version Control & DevOps: Git, CI/CD pipelines

Qualifications

• 5–8 years of experience in Data Quality Engineering / Data Engineering
• Strong expertise in SQL, Python, Airflow, and Snowflake
• Experience working with large-scale datasets and distributed data systems
• Solid understanding of data engineering best practices across the development lifecycle
• Experience working in Agile environments (Scrum, sprint planning, etc.)
• Strong analytical and problem-solving skills

What We Look For

• Passion for data accuracy, reliability, and governance
• Ability to identify and resolve complex data issues
• Strong collaboration skills across data, engineering, and analytics teams
• Ownership mindset and attention to data integrity and performance

Why Join Us

• Opportunity to work on modern data platforms and large-scale datasets
• Collaborate with high-performing data and engineering teams
• Exposure to cloud data architecture and modern data tools
• Competitive compensation and strong career growth opportunities

Role Overview

We are looking for a highly skilled Senior Full Stack Developer with strong expertise in modern backend technologies and scalable web application development. The ideal candidate is passionate about building high-performance applications, robust APIs, and scalable systems while collaborating with cross-functional teams to deliver impactful solutions.

This role requires a developer who can work as an individual contributor, solve complex technical challenges, and build products that create real business impact.

Key Responsibilities

• Design, develop, and maintain scalable full-stack web applications
• Build and optimize robust backend services and RESTful APIs
• Develop high-performance applications using Node.js and FastAPI
• Collaborate with product managers, designers, and engineering teams to deliver end-to-end solutions
• Ensure application performance, security, scalability, and reliability
• Write clean, maintainable, and well-tested code
• Participate in architecture discussions and code reviews
• Troubleshot complex production issues and provided effective technical solutions
• Follow modern development practices, coding standards, and CI/CD processes

Technical Skills

Core Technologies

• JavaScript – Advanced proficiency
• TypeScript – Strong hands-on experience
• Node.js – Strong backend development expertise
• Python (FastAPI) – API development and integration

Additional Skills (Good to Have)

• Experience with modern frontend frameworks such as React / Angular / Vue
• Experience with REST API design and microservices architecture
• Knowledge of cloud platforms (AWS / Azure / GCP)
• Experience with Docker, CI/CD pipelines
• Familiarity with databases such as PostgreSQL, MySQL, or MongoDB

Required Qualifications

• 5–8 years of experience in full-stack development
• Proven experience building scalable web applications and APIs
• Strong problem-solving and analytical skills
• Experience working in Agile development environments
• Ability to work independently and deliver high-quality solutions

What We Look For

• Passion for clean code and scalable architecture
• Strong ownership mindset
• Ability to solve complex technical challenges
• Excellent communication and collaboration skills

In this role, you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development.

Responsibilities

• Development of machine learning models
• Building and maintaining software development solutions
• Provide insights by applying data science methods
• Take ownership of delivering features and improvements on time

Must-have Qualifications

• 4 year's experience 
• Senior data scientist preferable with knowledge of NLP
• Strong programming skills and extensive experience with Python
• Professional experience working with LLMs, transformers and open-source models from HuggingFace
• Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
• Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc.).
• Experience using deep learning libraries and platforms, such as PyTorch
• Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills

Extra Merit Qualifications

• Knowledge in at least one of the following: NLP, information retrieval, data mining
• Ability to do statistical modeling and building predictive models
• Programming skills and experience with Scala and/or Java