Graphic Designer

This requirement is for Data Engineer in Gurugram for Data Analytics Project. 

 Building ETL/ELT pipelines of data from various sources using SQL/Python/Spark 

 Ensuring that data are modelled and processed according to architecture and requirements both 

functional and non-functional 

 Understanding and implementing required development guidelines, design standards and best 

practices Delivering right solution architecture, automation and technology choices 

 Working cross-functionally with enterprise architects, information security teams, and platform 

teams Suggesting and implementing architecture improvements 

 Experience with programming languages such as Python or Scala 

 Knowledge of Data Warehouse, Business Intelligence and ETL/ELT data processing issues 

 Ability to create and orchestrate ETL/ELT processes in different tools (ADF, Databricks 

Workflows) Experience working with Databricks platform: workspace, delta lake, workflows, jobs, 

Unity Catalog Understanding of SQL and relational databases 

 Practical knowledge of various relational and non-relational database engines in the cloud (Azure 

SQL Database, Azure Cosmos DB, Microsoft Fabric, Databricks) 

 Hands-on experience with data services offered by Azure cloud 

 Knowledge of Apache Spark (Databricks, Azure Synapse Spark Pools) 

 Experience in performing code review of ETL/ELT pipelines and SQL queries Analytical approach 

to problem solvin

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.

APPLY HERE  = https://r.ripplehire.com/s/bp24C" target="_blank">https://r.ripplehire.com/s/bp24C   
The ideal candidate is a creative problem solver at heart who thrives in a team environment. You will help manage and oversee relationships with new and existing partners through high-touch networking, lead generation, and market research. 

Responsibilities

• Own the entire proposal process: identify customeR needs, develop win themes, and produce complete proposals
• Assess the competitive landscape and track key market trends and developments
• Provide administrative support as well as excellent customer service and smooth communications
• Maintain the database using your organizational skills to streamline processes and clean up the data
• Cold calling 

Qualifications

• Bachelor's degree or equivalent experience
• Excellent written and verbal communication skills
• Highly organized with excellent attention to detail

Desired Candidate Profile

• Bachelor’s degree in human-computer interaction or Design or Fine Art or Architecture or Engineering or IT technical discipline or in place of 2+ years of internship or 1+ years of industry design experience
• Excellent communication, presentation and organizational skills
• Superlative visual design skills, excellent problem solving skills, and the ability to work well in a collaborative team environment
• Understanding of technical constraints, user goals and business requirements that shape a product
• Ability to work confidently with Program Management, Development, Product Planning, Brand, Marketing and Usability
• Proficiency with Figma or Sketch with an understanding of rapid prototyping platforms such as Invision or Principle
• Experience working within and contributing to a structured design system
• Strong organizational skills and an attention to detail
• Additional proficiency and experience in any of the following skills: information visualization, illustration, motion graphics and animation, video, are not a requirement, but a plus
• Expertise in modern research tools such as Dscout, Qualtrics, UserTesting and/or UserZoom
• User Research experience in a complex space such as enterprise, education or other business/consumer tools and applications    

What you need to have:

• Proven experience in a customer support role 
• Track record of over-achieving performance
• Strong listening, written and verbal communication skills
• Customer focus and adaptability to different personality types
• Ability to multi-task, set priorities and manage time effectively
• Must be fluent in English & Hindi
• Ability to work in shifts

• If you have worked in a fin-tech company
• If you have worked in a B2C tech startup