We have an opening for the following position.
Position: Executive - Sales & Marketing
Qualification: BE in ECE/EIE/EEE with an MBA(Desirable)
Skills/Requirement:
Job Description:
Responsible for Marketing and Sales of Embedded and Analog tools based on Texas Instruments Semiconductors to Educational Market
Achieve assigned revenue target by conducting end-to-end Sales & Marketing activities from Assigned Region
Responsible for Lead Generation through
o Cold Calling
o Email Campaign
o Direct Customer Visit
Responsible for organizing technical seminars/workshops to boost sales pipeline in coordination with the Technical Support Team.
Responsible to provide Pre-Sales guidance to customers
Responsible to conduct Product introductory sessions during Exhibits, seminars other promotional Events
Responsible to prepare competitive business proposals by evaluating offering from competitors, Identify opportunities and convert them into Sales
Responsible to Manage Existing accounts and Develop new accounts
Coordinate with Support Team for Training, Installation and Payments/Collections
Salary Package: Commensurate with Demonstrated Experience & Skills
Company Name: Starcom Information Technology Limited Starcom Information Technology Limited (BSE: 531616) is a public listed company, aspiring to be a knowledge-based technology-driven company. We have a diverse product portfolio of products (i.e. Systat, Sigma plot, NISA, Star – BI / DQ, and Embedded development kits based on DSP and ARM) and eminent global IP driven solution provider in the Data Quality, Business Intelligence, and Data Analytics space.
Website: http://www.starcomacademic.com
Location: Bangalore
Note: This job involves Travelling. Candidate must be ready to travel.

About Starcom Information Technology Limited
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Come be a part of our growth journey! Submit your CV to https://technorexinfoways.com/career today.
Senior Data Engineer Job Description
Overview
The Senior Data Engineer will design, develop, and maintain scalable data pipelines and
infrastructure to support data-driven decision-making and advanced analytics. This role requires deep
expertise in data engineering, strong problem-solving skills, and the ability to collaborate with
cross-functional teams to deliver robust data solutions.
Key Responsibilities
Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data
pipelines to ingest, process, and transform large volumes of structured and unstructured data.
Data Architecture: Architect and maintain data storage solutions, including data lakes, data
warehouses, and databases, ensuring performance, scalability, and cost-efficiency.
Data Integration: Integrate data from diverse sources, including APIs, third-party systems,
and streaming platforms, ensuring data quality and consistency.
Performance Optimization: Monitor and optimize data systems for performance, scalability,
and cost, implementing best practices for partitioning, indexing, and caching.
Collaboration: Work closely with data scientists, analysts, and software engineers to
understand data needs and deliver solutions that enable advanced analytics, machine
learning, and reporting.
Data Governance: Implement data governance policies, ensuring compliance with data
security, privacy regulations (e.g., GDPR, CCPA), and internal standards.
Automation: Develop automated processes for data ingestion, transformation, and validation
to improve efficiency and reduce manual intervention.
Mentorship: Guide and mentor junior data engineers, fostering a culture of technical
excellence and continuous learning.
Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high
availability and reliability of data systems.
Required Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,
or a related field.
Experience: 5+ years of experience in data engineering or a related role, with a proven track
record of building scalable data pipelines and infrastructure.
Technical Skills:
Proficiency in programming languages such as Python, Java, or Scala.
Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).
Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services
(e.g., Redshift, BigQuery, Snowflake).
Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and
data integration frameworks.
Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed
systems.
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a
plus.
Soft Skills:
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,
Google Professional Data Engineer) or relevant data engineering certifications.
Preferred Qualifica
Experience with real-time data processing and streaming architectures.
Familiarity with machine learning pipelines and MLOps practices.
Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data
pipelines.
Experience in industries with high data complexity, such as finance, healthcare, or
e-commerce.
Work Environment
Location: Hybrid/Remote/On-site (depending on company policy).
Team: Collaborative, cross-functional team environment with data scientists, analysts, and
business stakeholders.
Hours: Full-time, with occasional on-call responsibilities for critical data systems.
Analytics Job Description
We are hiring an Analytics Engineer to help drive our Business Intelligence efforts. You will
partner closely with leaders across the organization, working together to understand the how
and why of people, team and company challenges, workflows and culture. The team is
responsible for delivering data and insights that drive decision-making, execution, and
investments for our product initiatives.
You will work cross-functionally with product, marketing, sales, engineering, finance, and our
customer-facing teams enabling them with data and narratives about the customer journey.
You’ll also work closely with other data teams, such as data engineering and product analytics,
to ensure we are creating a strong data culture at Blend that enables our cross-functional partners
to be more data-informed.
Role : DataEngineer
Please find below the JD for the DataEngineer Role..
Location: Guindy,Chennai
How you’ll contribute:
• Develop objectives and metrics, ensure priorities are data-driven, and balance short-
term and long-term goals
• Develop deep analytical insights to inform and influence product roadmaps and
business decisions and help improve the consumer experience
• Work closely with GTM and supporting operations teams to author and develop core
data sets that empower analyses
• Deeply understand the business and proactively spot risks and opportunities
• Develop dashboards and define metrics that drive key business decisions
• Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,
and Workato
• Design our Analytics and Business Intelligence architecture, assessing and
implementing new technologies that fitting
• Work with our engineering teams to continually make our data pipelines and tooling
more resilient
Who you are:
• Bachelor’s degree or equivalent required from an accredited institution with a
quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as a Data Analyst, Data Engineer, Data Scientist
• Must have strong SQL and data modeling skills, with experience applying skills to
thoughtfully create data models in a warehouse environment.
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• Strong storyteller and ability to communicate effectively with managers and
executives
• Demonstrated ability to define metrics for product areas, understand the right
questions to ask and push back on stakeholders in the face of ambiguous, complex
problems, and work with diverse teams with different goals
• A passion for documentation.
• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a
dynamic environment.
• A bias towards communication and collaboration with business and technical
stakeholders.
• Quantitative rigor and systems thinking.
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• Familiarity with a scientific computing language, such as Python, for data wrangling
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Job Role - Shopify Developer
Responsibilities
Create an engaging and knowledgeable online Shopify store to increase sales and revenue
Create bespoke Shopify themes and change pre-existing templates per pre-defined brand
guidelines
Be an expert in all aspects of the ECommerce platform
Work with the UX and UI Design Teams to create unique, strong, and inventive front-end user
experiences
Ensure a smooth connection with Marketing Tools, Platform APIs, and Shopify Apps to optimise
the shop for overall efficiency and functionality
Test and debug websites regularly to improve performance
Based on their findings, they provide technical support and coordination, protecting enterprises
against failure
Increase conversion rates by optimising website
Requirements & Skills
A bachelor's degree in information technology, computer science, or a related discipline
Broad shop construction, launch, and maintenance expertise, as well as a general understanding
of the admin system
Proven skills in HTML5, CSS3, and JavaScript, as well as a thorough grasp of the DOM
Previous experience working with a custom theme and/or the Storefront API
Working knowledge of Shopify's theming system and Liquid templating
Previous experience implementing/debugging third-party Shopify apps, as well as building
unique solutions if needed
In-depth knowledge and expertise with vanilla JavaScript, jQuery, ES2015/ES6, and current
JavaScript frameworks
Working knowledge of Shopify's object/properties, AJAX API, and Meta fields
Extensive testing and debugging abilities using the browser console and other tools
Prior experience developing responsive layouts for desktop, tablet, and mobile devices
Working knowledge of third-party services and APIs, as well as Shopify plugins
- Capability to communicate effectively and provide proactive feedback
Frontend Developer needed urgently for 2 months. The candidate should have a minimum of 2 years of hands-on experience in React, with the Next.Js framework.
This is a contract-based job for 2 months, but we may also offer a full-time job based on the performance.
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Ultimately, you’ll create both functional and appealing features that address our clients’ needs and help us grow our customer base.
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- Have excellent technical and Photographic and Video graphic skills.
- Have good communication and people skills.
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- Ability to use different types of photographic equipment and photography software.
- Understanding of artificial and natural lighting and how it affects different settings, shapes and skin tones.
- A keen eye for detail and a well-developed artistic and creative aesthetic.
- Keeping up-to-date with technology and method in the industry.
- Good Software Knowledge of Adobe Photoshop, Adobe Lightroom.
- Bachelor’s degree in Photography related field.
- Experience as a Photographer in related field.
- Demonstrable Photographer
skills with a strong portfolio. - Proficiency with editing software- Photoshop, Premiere Pro, Lightroom.
- A strong eye for visual composition.
- Effective time management skills and the ability to meet deadlines.
- Able to give and receive constructive criticism.
- Take the brief to understand specifications and work closely with the team to develop the concept.
- Capture and process images and videos until the desired result is achieved.
- Constantly improve image and video quality using various editing methods.
- Use and maintain modern and traditional technical equipment (cameras, lenses, lights etc).
- Arrange objects, scenes, lighting and background to adhere to specifications.
- Archive photographic images, videos and maintain database.
- Maintain an in depth understanding of photographic and video graphic best practices and procedures.
- Carrying out research and preparation for a shoot.
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- Using an extensive range of technical equipment, including cameras, lenses, lighting and specialist software.
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- Estimate or measure light levels, distances, and numbers of exposures needed, using measuring devices and formulas.
- Create artificial light, using flashes and reflectors.
- Perform maintenance tasks necessary to keep equipment working properly.










