UI/UX Designer

Job Summary:

We are looking for a skilled and motivated .NET Full Stack Developer with strong expertise in .NET Core, React, and Microservices architecture. The ideal candidate will be responsible for designing, developing, and maintaining scalable, high-performance applications while collaborating with cross-functional teams.

Key Responsibilities:

• Design, develop, and maintain web applications using .NET Core / ASP.NET Core and React.js
• Build and implement microservices-based architecture for scalable systems
• Develop and consume RESTful APIs
• Collaborate with UI/UX designers to implement responsive and user-friendly interfaces
• Ensure code quality through unit testing, code reviews, and best practices
• Work with databases such as SQL Server / NoSQL databases
• Optimize applications for maximum speed and scalability
• Participate in Agile ceremonies like sprint planning, stand-ups, and retrospectives
• Troubleshoot and debug production issues

Required Skills:

• Strong experience in C#, .NET Core, ASP.NET Core
• Hands-on experience with React.js, JavaScript, HTML, CSS
• Solid understanding of Microservices architecture
• Experience in building and consuming REST APIs
• Knowledge of Entity Framework / ORM tools
• Experience with SQL Server / PostgreSQL / MongoDB
• Familiarity with Git / version control systems
• Understanding of design patterns and clean architecture

Looking for Fresher Python /Django intern candidate who want to make carrer in IT company and want to learn some live project on it

location : Indore work from office

Responsibilities:

● Assist in the design, development, and maintenance of RESTful APIs using FastAPI

or Flask.

● Integrate third-party APIs and develop internal API connections.

● Support debugging and optimization tasks to enhance API performance and

reliability.

● Collaborate with front-end developers to ensure seamless integration with the

backend.

● Contribute to code reviews and maintain best practices in API development.

● (Optional) Utilize machine learning knowledge to support the development of

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Please call and visit office for detail discussion and for free counseling Monday To Saturday 11 Am to 7 P.M

Company name : Logical Soft Tech Pvt Ltd, Indore(M.P)

Contact : - +91-826.982.972.9(HR), +91-786.973.159.5(HR), +91-741.595.091.9(HR), +91-821.025.182.4 (technical Department),

Address: - 2nd floor, 388,PU4, Scheme 54 PU4, Next to Krozzon hotel, Infront of Old Eye Retina Hospital, Vijay Nagar, Indore, M.P

Strong Industrial Designer / Physical Product Designer profile

Mandatory (Experience 1) - Must have a minimum 5+ YOE in Designing Consumer Electronics or Consumer Durables Physical Products

Mandatory (Experience 2) - Very Strong Experience with CMF (Color, Material, Finish) for Physical product designs

Mandatory (Experience 3) - Must have experience with 3D Designs using computer-aided design (CAD) tools

Mandatory (Portfolio) - Strong portfolio of Industrial / Physical Product design Consumer Products (Must have shown the 3D look and feel of Physical products in portfolio)

Mandatory (Company) - Good Consumer Electronics or Handset / Mobility or Automotive Industry or New age start-ups ( Eg, Jaguar, Titan, Ola, Fossils, BMW)

Mandatory (Education) - Design Degree from NID Ahmedabad or an equivalent tier-1 design institute

Google Data Engineer - SSE

Position Description

Google Cloud Data Engineer

Notice Period: Immediate to 30 days serving

Job Description:

We are seeking a highly skilled Data Engineer with extensive experience in Google Cloud Platform (GCP) data services and big data technologies. The ideal candidate will be responsible for designing, implementing, and optimizing scalable data solutions while ensuring high performance, reliability, and security.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures using GCP data services.

• Implement and optimize solutions using BigQuery, Dataproc, Composer, Pub/Sub, Dataflow, GCS, and BigTable.

• Work with GCP databases such as Bigtable, Spanner, CloudSQL, AlloyDB, ensuring performance, security, and availability.

• Develop and manage data processing workflows using Apache Spark, Hadoop, Hive, Kafka, and other Big Data technologies.

• Ensure data governance and security using Dataplex, Data Catalog, and other GCP governance tooling.

• Collaborate with DevOps teams to build CI/CD pipelines for data workloads using Cloud Build, Artifact Registry, and Terraform.

• Optimize query performance and data storage across structured and unstructured datasets.

• Design and implement streaming data solutions using Pub/Sub, Kafka, or equivalent technologies.

Required Skills & Qualifications:

• 8-15 years of experience

• Strong expertise in GCP Dataflow, Pub/Sub, Cloud Composer, Cloud Workflow, BigQuery, Cloud Run, Cloud Build.

• Proficiency in Python and Java, with hands-on experience in data processing and ETL pipelines.

• In-depth knowledge of relational databases (SQL, MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Scylla, Cassandra, DynamoDB).

• Experience with Big Data platforms such as Cloudera, Hortonworks, MapR, Azure HDInsight, IBM Open Platform.

• Strong understanding of AWS Data services such as Redshift, RDS, Athena, SQS/Kinesis.

• Familiarity with data formats such as Avro, ORC, Parquet.

• Experience handling large-scale data migrations and implementing data lake architectures.

• Expertise in data modeling, data warehousing, and distributed data processing frameworks.

• Deep understanding of data formats such as Avro, ORC, Parquet.

• Certification in GCP Data Engineering Certification or equivalent.

Good to Have:

• Experience in BigQuery, Presto, or equivalent.

• Exposure to Hadoop, Spark, Oozie, HBase.

• Understanding of cloud database migration strategies.

• Knowledge of GCP data governance and security best practices.

Primary skills are to find out memory leaks, diagnose crashes, create crash dumps and perform fixes., ASP.NET, MVC, or Entity Framework, C# .Net, Angular ( C# Web developer) , ASP.NET, MVC, or Entity Framework, C# .Net, Angular

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

.

Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Job Title: Senior Associate L1 – Data Engineering

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Integration and Transformation

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies

2.Minimum 1.5 years of experience in Big Data technologies

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

7.Cloud data specialty and other related Big data technology certifications

Job Title: Senior Associate L1 – Data Engineering

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

We are looking for skilled iOS developers who are passionate about solving digital payment problems for over a billion Indians.

Requirements:

• At least 4 years of experience in developing, releasing, and maintaining iOS mobile applications.
• Ability to write efficient, reusable, and maintainable code in Swift.
• Excellent expertise in iOS SDK frameworks and fundamentals.
• Amazing debugging skills with the ability to write unit test cases Strong computer science fundamentals.
• Startup friendly i.e self-starter, quick learner, hard-working, and passionate.