SDET

Searchnet India is looking for a motivated SEO Executive & Digital Marketing Specialist who can improve our online presence, increase organic traffic, and manage digital marketing campaigns across multiple platforms.

Key Responsibilities

• Conduct keyword research and implement effective SEO strategies
• Optimize website pages using on-page SEO techniques (meta tags, headings, internal linking, etc.)
• Perform off-page SEO activities such as link building and outreach
• Monitor website performance using Google Analytics and Search Console
• Plan and manage digital marketing campaigns including social media and paid ads
• Create and optimize content for better search engine visibility
• Track website traffic, rankings, and campaign performance
• Stay updated with the latest SEO trends and search engine algorithm updates

At DocNexus, we’re revolutionizing how life sciences companies search and generate insights. Our search platform unlocks powerful insights, and we're seeking a Customer Success Team Member with strong technical skills to help our customers harness its full potential.

What you’ll do:

• Customer Support: Troubleshoot and resolve customer queries, particularly around referral reports, data anomalies, and data generation using our platform.
• Data Queries (BigQuery/ClickHouse): Respond to customer requests for custom data queries, working with large datasets in BigQuery and ClickHouse to deliver precise insights.
• Onboarding & Training: Lead onboarding for new customers, guide teams on platform usage, and manage access requests.
• Listen & Improve: Collect and act on customer feedback to continuously improve the platform, collaborating with the product team to enhance functionality.
• Technical Documentation: Assist with technical resources and help create training materials for both internal and customer use.

What you bring:

• Strong Technical Skills: Proficient in querying with BigQuery and ClickHouse. Comfortable working with complex data, writing custom queries, and resolving technical issues.
• Customer-Focused: Excellent communication skills, able to translate technical data insights to non-technical users and provide solutions clearly and effectively.
• Problem-Solver: Strong analytical skills and a proactive mindset to address customer needs and overcome challenges in a fast-paced environment.
• Team Player: Work collaboratively with both internal teams and customers to ensure success.

If you're passionate about data, thrive in a technical environment, and are excited to support life sciences teams in their data-driven decision-making, we'd love to hear from you!

🔧 Key Responsibilities:

Design, develop, and maintain Salesforce applications using LWC, Apex, and Visualforce

Configure Salesforce, build workflows, and automate business processes

Collaborate with cross-functional teams to deliver robust technical solutions

Troubleshoot and resolve Salesforce issues efficiently

Ensure top-notch code quality through best practices, testing, and documentation

✅ Mandatory Skills:

CPQ (Must have), General Salesforce Development (apex and LWC).

Strong in Apex, Triggers, SOQL/SOSL, and Salesforce configuration

Experience with Salesforce Integration & Deployment Tools (Change Sets, ANT, Git)

Solid understanding of Salesforce Security Model & Governor Limits

Are you passionate about coding, problem-solving, and building high-performing SAP solutions?

We’re looking for a skilled SAP ABAP Developer to join our dynamic team!

📍 Location: [Hybrid – Coimbtore and Gurgaon]

🕒 Employment Type: [Full-time]

💰 Experience Level: [Minimum 4 years for Gurgaon location & 8 years for Coimbtore location ]

1. Proven experience in SAP ABAP development (ECC / S/4HANA).
2. Strong knowledge of Reports, ALV, BAPIs, BADIs, Enhancements, Smart Forms, IDOCs, and OData services.
3. Hands-on experience with SAP Fiori / CDS Views / Workflow (nice to have).
4. Excellent analytical and communication skills.
5. Experience in building and exposing RAP APIs.

The Sr AWS/Azure/GCP Databricks Data Engineer at Koantek will use comprehensive

modern data engineering techniques and methods with Advanced Analytics to support

business decisions for our clients. Your goal is to support the use of data-driven insights

to help our clients achieve business outcomes and objectives. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and

patterns, insights, and trends to decision-makers. You will help design and build data

pipelines, data streams, reporting tools, information dashboards, data service APIs, data

generators, and other end-user information portals and insight tools. You will be a critical

part of the data supply chain, ensuring that stakeholders can access and manipulate data

for routine and ad hoc analysis to drive business outcomes using Advanced Analytics. You are expected to function as a productive member of a team, working and

communicating proactively with engineering peers, technical lead, project managers, product owners, and resource managers. Requirements:

 Strong experience as an AWS/Azure/GCP Data Engineer and must have

AWS/Azure/GCP Databricks experience.  Expert proficiency in Spark Scala, Python, and spark

 Must have data migration experience from on-prem to cloud

 Hands-on experience in Kinesis to process & analyze Stream Data, Event/IoT Hubs, and Cosmos

 In depth understanding of Azure/AWS/GCP cloud and Data lake and Analytics

solutions on Azure.  Expert level hands-on development Design and Develop applications on Databricks.  Extensive hands-on experience implementing data migration and data processing

using AWS/Azure/GCP services

 In depth understanding of Spark Architecture including Spark Streaming, Spark Core, Spark SQL, Data Frames, RDD caching, Spark MLib

 Hands-on experience with the Technology stack available in the industry for data

management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc

 Hands-on knowledge of data frameworks, data lakes and open-source projects such

asApache Spark, MLflow, and Delta Lake

 Good working knowledge of code versioning tools [such as Git, Bitbucket or SVN]

 Hands-on experience in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair

 Experience preparing data for Data Science and Machine Learning with exposure to- model selection, model lifecycle, hyperparameter tuning, model serving, deep

learning, etc

 Demonstrated experience preparing data, automating and building data pipelines for

AI Use Cases (text, voice, image, IoT data etc. ).  Good to have programming language experience with. NET or Spark/Scala

 Experience in creating tables, partitioning, bucketing, loading and aggregating data

using Spark Scala, Spark SQL/PySpark

 Knowledge of AWS/Azure/GCP DevOps processes like CI/CD as well as Agile tools

and processes including Git, Jenkins, Jira, and Confluence

 Working experience with Visual Studio, PowerShell Scripting, and ARM templates.  Able to build ingestion to ADLS and enable BI layer for Analytics

 Strong understanding of Data Modeling and defining conceptual logical and physical

data models.  Big Data/analytics/information analysis/database management in the cloud

 IoT/event-driven/microservices in the cloud- Experience with private and public cloud

architectures, pros/cons, and migration considerations.  Ability to remain up to date with industry standards and technological advancements

that will enhance data quality and reliability to advance strategic initiatives

 Working knowledge of RESTful APIs, OAuth2 authorization framework and security

best practices for API Gateways

 Guide customers in transforming big data projects, including development and

deployment of big data and AI applications

 Guide customers on Data engineering best practices, provide proof of concept, architect solutions and collaborate when needed

 2+ years of hands-on experience designing and implementing multi-tenant solutions

using AWS/Azure/GCP Databricks for data governance, data pipelines for near real-

time data warehouse, and machine learning solutions.  Over all 5+ years' experience in a software development, data engineering, or data

analytics field using Python, PySpark, Scala, Spark, Java, or equivalent technologies.  hands-on expertise in Apache SparkTM (Scala or Python)

 3+ years of experience working in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions.  Bachelor's or Master's degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience

 Ability to manage competing priorities in a fast-paced environment

 Ability to resolve issues

 Basic experience with or knowledge of agile methodologies

 AWS Certified: Solutions Architect Professional

 Databricks Certified Associate Developer for Apache Spark

 Microsoft Certified: Azure Data Engineer Associate

 GCP Certified: Professional Google Cloud Certified

Job Description:

We are looking for a good JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

Responsibilities

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high-quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Skills:

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (Redux)
• Familiarity with newer specifications of ECMAScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

• FDesign and implement user interface components for JavaScript-based web and mobile applications using React ecosystem

• Build app and UI components from prototypes and wireframes

• Stay updated with new updates, technologies, and news of React Native

• Strong verbal and written communication skills to communicate strategy

Skills That Will Help You In The Role

Must-Have Skills: React web and mobile along with tools like Flux, Flow, Redux, etc.

Good to Have:  JavaScript, CSS, HTML, functional programming, and front-end languages