11+ WTX Jobs in India

DataPower With APIC Development and Admin skills with Python or shell script
Exp.level: 4 - 7 Years

• IBM Cloud Pack- API Connect Developer:

• Data Power virtual appliance on Docker containers within Kubernetes cluster.

• setup API Connect Cloud manage

• setup Portal and analytics endpoints for the APIs to give more data analytics to the application teams.

• Register and troubleshoot Gateway Service with API Connect Gateway object on Data Power appliance

• Configure Mutual Authentication mechanism by creating Identification Credentials and Validation credentials to validate the server certificates

• Create organizations in API Connect to provide the architecture to create APIs using API connect manager

• Ability to create spaces and products on APIC and support multiple teams using them

• Knowledge of concepts and implementation of these on APIC – JWT, Bearer, Basic AUTH

• Integration with LDAP and troubleshooting

• WTX, COBOL Copybook, XML, XSL, Gateway scripting

• Networking concepts and integration with AWS concepts like VPC, NLB, etc

• Cloudwatch integration

Senior Software Engineer

• Minimum 5 years in typescript and Total of minimum 8 Years of experience
• Excellent communication skills. English Language fluency is Mandatory.

We are looking for strong backend senior engineers

• 8+ years experience as Senior Software Engineer
• Have worked in medium- to big-sized companies for at least 3 years ( companies with 50+ developers)
• Strong architecture and planning skills
• Strong AI coding skills (being fluent in developing agents and skills) and using them in their development routines
• Distributed programming knowledge
• Typescript, Postgres & Kubernetes knowledge.

Ways of working

The engineers will be lead/managed by a UK Multinational company engineer manager (initially one currently based in Europe), and we are going to work on hiring one in Asia if we succeed in putting the team together

Engineers will have a direct contract with UK Multinational Company as career employees (entitled to company benefits and career progression) and will be trained in the UK Multinational Company product portfolio and work on several different projects.

We work in an environment where each engineer is presented with a business problem (or user story) and must come up with a detailed plan on how to tackle it (and explain and get approval from the team), which we do during the refinement meetings. In summary, we do not tell the engineers what to do, our expectation from a Senior engineer is that he tells us what to do (he will be trained, of course, in the best practices and technical specs of our environment).

Hiring process

• Hiring manager interview
• System Design interview
• Coding (with AI) interview

Design engineer - Eplan

(2 to 3 years

Eplan certification

Diploma / BE - electrical / instrumentation)

Job Overview:

All Time Design is looking for a results-driven Business Development Executive who are actively seeking for new business opportunities, engage and build relationships with potential customers. You will provide complete and appropriate solutions for every potential customer

to boost top-line revenue growth, customer acquisition levels, and profitability.

Responsibilities:

• Qualify leads from marketing campaigns as sales opportunities
• Contact potential prospects through cold calls and emails
• Present our company to potential prospects
• Identify prospect's needs and suggest appropriate products/services
• Build long-term trusting relationships with prospects
• Proactively seek new business opportunities in the market
• Set up meetings or calls between (prospective) customers and Sales Manager
• Report to the Sales Manager on sales results

Requirements:

• Proven work experience as a Sales Lead / Sales Development Representative / Sales Account Executive or similar role
• Hands-on experience with multiple sales prospecting techniques like cold calling, cold emailing and social outreach.
• Track record of achieving sales quotas
• Experience working with a CRM
• Fair understanding of sales performance metrics
• Excellent communication and negotiation skills
• Ability to deliver engaging presentations

Job Types: Full-time, Permanent

Pay: ₹20,000.00 - ₹50,000.00 per month

Supplemental Pay:

• Commission pay

Shift:

• Rotational shift

Job Title: Data Engineer

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

Job Purpose and Impact

As a Data Engineer at Cargill you work across the full stack to design, develop and operate high performance and data centric solutions using our comprehensive and modern data capabilities and platforms. You will play a critical role in enabling analytical insights and process efficiencies for Cargill’s diverse and complex business environments. You will work in a small team that shares your passion for building innovative, resilient, and high-quality solutions while sharing, learning and growing together.

Key Accountabilities

Collaborate with business stakeholders, product owners and across your team on product or solution designs.

· Develop robust, scalable and sustainable data products or solutions utilizing cloud-based technologies.

· Provide moderately complex technical support through all phases of product or solution life cycle.

· Perform data analysis, handle data modeling, and configure and develop data pipelines to move and optimize data assets.

· Build moderately complex prototypes to test new concepts and provide ideas on reusable frameworks, components and data products or solutions and help promote adoption of new technologies.

· Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.

· Other duties as assigned

Qualifications

MINIMUM QUALIFICATIONS

· Bachelor’s degree in a related field or equivalent experience

· Minimum of two years of related work experience

· Other minimum qualifications may apply

PREFERRED QUALIFCATIONS

· Experience developing modern data architectures, including data warehouses, data lakes, data meshes, hubs and associated capabilities including ingestion, governance, modeling, observability and more.

· Experience with data collection and ingestion capabilities, including AWS Glue, Kafka Connect and others.

· Experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.

· Experience with transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others

· Experience working in Big Data environments including tools such as Hadoop and Spark

· Experience working in Cloud Platforms including AWS, GCP or Azure

· Experience of streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.

· Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent

· Proficiency in engineering tooling including docker, git, and container orchestration services

· Strong experience of working in devops models with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.

· Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.

Equal Opportunity Employer, including Disability/Vet.

Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance, and growth. 

Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities. 

We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation, and co-development to engineer next-generation software products with the help of accelerators. 

Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions. 
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes. 

We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We are constantly self-asses and realign to work with each customer in the most impactful manner. 

Pre-requisites for the Role 

1. Job ID-EMBD0120PS 

1. Primary skill: GCP DATA ENGINEER, BIGQUERY, ETL 

1. Secondary skill: HADOOP, PYTHON, SPARK 

1. Years of Experience: 5-8Years  

1. Location: Remote 

Budget- Open  

NP- Immediate 

GCP DATA ENGINEER 

Position description 

• Designing and implementing software systems 

• Creating systems for collecting data and for processing that data 
• Using Extract Transform Load operations (the ETL process) 
• Creating data architectures that meet the requirements of the business 
• Researching new methods of obtaining valuable data and improving its quality 
• Creating structured data solutions using various programming languages and tools 

• Mining data from multiple areas to construct efficient business models 
• Collaborating with data analysts, data scientists, and other teams. 

Candidate profile 

• Bachelor’s or master’s degree in information systems/engineering, computer science and management or related. 
• 5-8 years professional experience as Big Data Engineer 

• Proficiency in modelling and maintaining Data Lakes with PySpark – preferred basis. 
• Experience with Big Data technologies (e.g., Databricks) 
• Ability to model and optimize workflows GCP. 
• Experience with Streaming Analytics services (e.g., Kafka, Grafana) 
• Analytical, innovative and solution-oriented mindset 

• Teamwork, strong communication and interpersonal skills 
• Rigor and organizational skills 
• Fluency in English (spoken and written).