
- Key responsibility is to design and develop a data pipeline including the architecture, prototyping, and development of data extraction, transformation/processing, cleansing/standardizing, and loading in Data Warehouse at real-time/near the real-time frequency. Source data can be structured, semi-structured, and/or unstructured format.
- Provide technical expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
- Development of complex data transformation using Talend (BigData edition), Python/Java transformation in Talend, SQL/Python/Java UDXs, AWS S3, etc to load in OLAP Data Warehouse in Structured/Semi-structured form
- Development of data model and creating transformation logic to populate models for faster data consumption with simple SQL.
- Implementing automated Audit & Quality assurance checks in Data Pipeline
- Document & maintain data lineage to enable data governance
- Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
Requirements
- Programming experience using Python / Java, to create functions / UDX
- Extensive technical experience with SQL on RDBMS (Oracle/MySQL/Postgresql etc) including code optimization techniques
- Strong ETL/ELT skillset using Talend BigData Edition. Experience in Talend CDC & MDM functionality will be an advantage.
- Experience & expertise in implementing complex data pipelines, including semi-structured & unstructured data processing
- Expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
- Good understanding & working experience in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) and cloud-native Data Lake (S3, ADLS, BigQuery, etc) solutions
- Familiarity with AWS tool stack for Storage & Processing. Able to recommend the right tools/solutions available to address a technical problem
- Good knowledge of database performance and tuning, troubleshooting, query optimization, and tuning
- Good analytical skills with the ability to synthesize data to design and deliver meaningful information
- Good knowledge of Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model
- Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
- Ability to understand business functionality, processes, and flows
- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently
Functional knowledge
- Data Governance & Quality Assurance
- Distributed computing
- Linux
- Data structures and algorithm
- Unstructured Data Processing

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Key Responsibilities:
- Design, execute, and maintain comprehensive manual test cases.
- Perform exploratory, functional, and regression testing across multiple releases.
- Identify, document, and track defects using bug tracking tools (e.g., JIRA).
- Collaborate closely with developers and product teams to ensure timely, high-quality releases.
- Prioritize testing tasks effectively in a fast-paced, dynamic environment.
Required Skills:
- Solid manual testing expertise with strong attention to detail.
- Experience in functional, regression, and exploratory testing.
- Proficiency with test management and bug tracking tools.
- Ability to create and execute test cases quickly without compromising depth.
- Strong adaptability to shifting priorities and tight deadlines.
Good to Have (Optional):
- Basic knowledge of automation frameworks (Selenium, Cypress, Playwright, etc.).
- Exposure to CI/CD pipelines and version control (Git, Jenkins, etc.).
Qualifications:
- 3–5 years of professional experience in software QA.
- Bachelor’s degree in Computer Science, Engineering, or related field (preferred).
Responsibilities:
- Work with development teams and product managers to ideate software solutions.
- Design client-side and server-side architecture.
- Build the front end of applications through appealing visual design.
- Develop and manage well-functioning databases and applications.
- Write effective APIs.
- Test software to ensure responsiveness and efficiency.
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- Create security and data protection settings.
- Build features and applications with a mobile responsive design.
- Write technical documentation.
Requirements:
- 6 years of proven experience as a Full Stack Developer or similar role.
- Experience working with service-oriented architectures and web-based solutions.
- Familiarity with common stacks.
- Knowledge of multiple front-end languages and libraries (e. g. HTML/ CSS, JavaScript, XML, jQuery).
- Knowledge of multiple back-end languages (e. g. C#, Java, Python) and JavaScript frameworks (e. g. Angular, React, Node.js ).
- Familiarity with databases (e. g. MySQL, MongoDB), web servers (e. g. Apache), and UI/UX design.
- Experience working on Agile processes (Scrum, Kanban).
- Experience working on AWS technologies.
- Excellent communication and teamwork skills.
- Great attention to detail.
- Organizational skills.
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network automation tools Ansible terraform D wan cloud networking (Aws,AzurE,Gcp)
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Join our dynamic team as a Software Quality Assurance Engineer (SWQA) and contribute to ensuring top-quality software development in the automotive industry. If you’re passionate about software quality, process improvements, and driving excellence in software projects, this role is for you!
Key Responsibilities:
- Plan and execute SQA activities in line with project timelines and performance metrics
- Collaborate with stakeholders including software project managers, developers, testers, and process leads
- Conduct thorough reviews of software work products developed in-house and by external suppliers
- Support ECU owners in supplier joint reviews, ensuring quality deliverables
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Secondary Responsibilities:
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Qualifications:
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- ISO 21434
- IATF 16949
- Excellent communication and collaboration skills, with the ability to engage cross-functional teams
If you’re ready to play a critical role in shaping the quality of cutting-edge automotive software, we want to hear from you!
🌟 Apply now and become part of our innovative journey in the automotive sector.
What are we looking for:
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- Strong experience in Bash and Python
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- 2+ years of experience in the production support
- Strong experience in log management and performance monitoring like ELK, Prometheus + Grafana, logging services on various cloud platforms
- Strong understanding of Linux OSes like Ubuntu, CentOS / Redhat Linux
- Interest in learning new languages / framework as needed
- Good written and oral communications skills
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As a product solutions engineer, you will:
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Role: Full-Stack Lead Software Developer – Building Materials Start-up
Experience: 5+ Years preferred (3+ years mandatory)
Location: Hyderabad
About the Company: AndesInfra Solutions is a Hyderabad based Building materials start-up. The founders have over 20 years’ experience in the industry having worked with reputed clientele over these years. The start-up is re-defining how products and services are offered in the construction industry by focusing on driving better efficiencies. Powered by Technology and Innovative business models, the start-up is aiming to solve the root causes of project cost and time over runs, service delivery and quality assurance.
About the Industry: The real estate sector in India is expected to reach $1Trn by 2030 and contribute to ~13% of India’s GDP by then. The industry is heavily fragmented with most players struggling for efficiencies. There is a growing trend towards product modularization and service orientation leading to greater stress on efficiencies.
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- You are expected to write high quality code for applications, database integrations, interfaces and code enhancements
- You will lead the entire cycle of software development to delivery and maintenance. You must be comfortable working with agile, lean and continuous delivery practices
- You are expected to recommend, design and implement the optimal choices on technology, tools and architecture
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- You are expected to build a tech team for the company, that works under your leadership
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- 4+ years’ deep experience across All of MEAN Stack
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- Must have been involved in the launch of IOS and Android Apps or Progressive Web Apps
- Must have built and/or managed and technology team in your previous organizations
- Must be able to work cross-functionally and demonstrate business acumen and judgement
- Having an appreciation/some background in construction industry is a plus
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Location : Indore
Qualification : B. E / M. C. A / B. C. A / M. B. A
Experience : 1 to 4 Years
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Sound technical understanding and knowledge of software development processes.
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Salary: No bar for right candidates
Votive Technologies
308, Shree Vardhan complex
4 RNT Marg Indore(MP)
www.votivetech.com
Location: Chennai- Guindy Industrial Estate
Duration: Full time role
Company: Mobile Programming (https://www.mobileprogramming.com/" target="_blank">https://www.
Client Name: Samsung
We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be
responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing
data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline
builder and data wrangler who enjoy optimizing data systems and building them from the ground up.
The Data Engineer will support our software developers, database architects, data analysts and data
scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout
ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple
teams, systems and products.
Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture,
Assemble large, complex 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.
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.
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 experts to strive for greater functionality in our data systems.
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Experience building and optimizing big data ETL pipelines, architectures and data sets.
Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
Experience performing root cause analysis on internal and external data and processes to
answer specific business questions and identify 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.
Working knowledge of message queuing, stream processing and highly scalable ‘big data’ data
stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 3-6 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: Spark, Kafka, HBase, Hive etc.
Experience with relational SQL and NoSQL databases
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, Scala, etc.
Skills: Big Data, AWS, Hive, Spark, Python, SQL








