
- Experience of providing technical leadership in the Big Data space (Hadoop Stack like Spark, M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc. Should have contributed to open source Big Data technologies.
- Expert-level proficiency in Python
- Experience in visualizing and evangelizing next-generation infrastructure in Big Data space (Batch, Near Real-time, Real-time technologies).
- Passionate for continuous learning, experimenting, applying, and contributing towards cutting edge open source technologies and software paradigms
- Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies.
- Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib)
Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services, and the AWS CLI) - Experience working within a Linux computing environment, and use of command-line tools including knowledge of shell/Python scripting for automating common tasks

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🚀 We're Hiring: SAP ABAP + CPI-DS Consultants (Remote Opportunity)
✅ Only Freelancers (Immediate/Available candidates preferred)
Are you an experienced SAP ABAP & SAP CPI-DS Consultant looking for your next opportunity? We'd love to connect with you!
📍 Work Mode: Remote
💼 Experience: 5–12 Years
✅Contract Duration : Minimum 6 Months
Required Skill Combination:
✔ SAP ABAP + CPI-DS
We are looking for candidates with either of the following experience combinations:
✅ 70% ABAP & 30% CPI-DS, or
✅ 70–80% CPI-DS & 20–30% ABAP
📌 Interview Requirement:
Candidates must be willing to attend one face-to-face interview round at any of the following locations:
📍 Bangalore | Pune | Mumbai | Noida | Hyderabad
If you have hands-on experience in both SAP ABAP and CPI-DS and are interested in this remote opportunity, we'd love to hear from you!
Strong expertise in Databricks, Agentbricks, AI, Machine Learning, Generative AI, and LLM-based systems to lead end-to-end delivery of complex AI initiatives.
Strong Python programming skills with experience in FastAPI, PySpark, and SQL.
Hands-on experience with MLflow for experiment tracking, model versioning, and deployment.Strong knowledge of Generative AI and LLMs: prompt engineering, fine-tuning, and model integration.
Experience working on Databricks (Delta Lake, ML runtime) and AWS Cloud services (S3, EC2, Lambda, RDS, Bedrock)
Familiarity with GitLab CI/CD, containerization (Docker), and cloud DevOps practices
Deep understanding of machine learning workflows including data preprocessing, feature engineering, model selection, training, tuning, and deployment.
We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
Requirements:
- Bachelor's degree in engineering with a specialization in computer science or a related field.
- 5+ years of experience as a software engineer in a product development setting.
- Love of technology and experience with one or more programming languages, such as Python or Go.
- Experience in full-stack development, including designing APIs and integration patterns, implementing security, and implementing frameworks for unit and end-to-end testing.
- Experience with microservices architecture.
- Experience in one or more frameworks like FastAPI, Spring, GRPC, Flask, etc.
- Extensive experience in a test-driven development environment.
- Understanding of CI/CD practices, including code check-in policies, automated unit tests, automated code deployments, etc.
- Ability to grasp new technologies and use them effectively to create industrial-strength software.
- Good communication skills. You can communicate well in the English language with product managers, your team members, and external stakeholders to understand their needs and convey yours in a clear, precise manner, verbally or in writing.
- Strong collaboration skills. You have demonstrated the ability to work with both senior and junior technical professionals and get work done. You quickly earn the trust of the people you work with. People enjoy and have fun working with you.
- Deadline-oriented. You understand that deadlines are meant to be met.
- Challenges will surface, and obstacles and roadblocks will cause delays, but you plan for them in advance and still ship your features on time to meet your commitments.
- Bias for action. Your default setting is to take action and not wait for things to happen. You love to learn about new technologies and advancements in the software industry.
Benefits at 314e Corporation:
- Medical Benefits
- Office Game space
- Referral Program
- Holiday parties
Job Summary
We are seeking an experienced Databricks Developer with strong skills in PySpark, SQL, Python, and hands-on experience deploying data solutions on AWS (preferred), Azure. The role involves designing, developing, and optimizing scalable data pipelines and analytics workflows on the Databricks platform.
Key Responsibilities
- Develop and optimize ETL/ELT pipelines using Databricks and PySpark.
- Build scalable data workflows on AWS (EC2, S3, Glue, Lambda, IAM) or Azure (ADF, ADLS, Synapse).
- Implement and manage Delta Lake (ACID, schema evolution, time travel).
- Write efficient, complex SQL for transformation and analytics.
- Build and support batch and streaming ingestion (Kafka, Kinesis, EventHub).
- Optimize Databricks clusters, jobs, notebooks, and PySpark performance.
- Collaborate with cross-functional teams to deliver reliable data solutions.
- Ensure data governance, security, and compliance.
- Troubleshoot pipelines and support CI/CD deployments.
Required Skills & Experience
- 4–8 years in Data Engineering / Big Data development.
- Strong hands-on experience with Databricks (clusters, jobs, workflows).
- Advanced PySpark and strong Python skills.
- Expert-level SQL (complex queries, window functions).
- Practical experience with AWS (preferred) or Azure cloud services.
- Experience with Delta Lake, Parquet, and data lake architectures.
- Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).
- Good understanding of data modeling, optimization, and distributed systems.
Networking skills to manage good relationship with all the stakeholder in Rice procurement chain.
Actively seek out new sales opportunities through cold calling and networking
Able to handle operations as well.
Preference for Rice sales experience candidate
Network Engineer duties and responsibilities
· Design and deploy of LANs, WANs, and wireless networks, including servers, routers, firewalls, load balancers, switches, and other hardware
· Configure, tests, and maintains LAN/WAN equipment and related services
· Identifies, diagnoses, and resolves network problems
· Architecting, creating, managing and maintaining Network, Server and PC health for clients (as defined by SLA)
· Managing existing and deploying new system configurations, including Windows Server, Virtualization Systems, and Desktops (Windows and MAC)
· Provide Tier 2 and 3 support for internal and external customers
· Provide formal corporate communications on directional changes or changes that will impact existing services
· Select and implement security tools, policies, and procedures in conjunction with the company’s security team
· Monitor and maintain all levels of network security internally and externally
· Create and maintain comprehensive documentation for all implemented networks
Network Engineer requirements and qualifications
· Previous working experience as a Network Engineer for (2) year(s)
· BE/ BCA, MCA, B.SC -IT/CS
· Cisco certifications, CCNA, CCNP or CCIE/ MSCIT
· In depth knowledge of IP Schema
· Hands on experience with equipment from Cisco / UTM / Fortigate / Juniper/ Active Directory/ mailig
· Excellent organizational and time management skills
· Analytical, data driven problem solver
- Bachelor's Degree or equivalent experience.
- 5-8 years of experience with software development, preferably in Agile environment.
- Advanced knowledge of in software development tools, programming languages, databases, and environments, including but not limited to:
- Python 3.x, Django, functional Python, procedural Python, object oriented Python, Asynchronous Design, Micro Services, memcache, REDIS, Celery, ElastiSearch, RESTful web services, Relational (Oracle & MySQL) and Non-Relational (NOSQL & DynamoDB) databases, AWS.
Installs and maintains Fiber Optic Cables
Qualification: ITI/8th,10th Pass or Fail
Gender: Male
Location: Pondicherry
Looking for a AWS Architect for our client branch in Noida
Experience: 8+ years of relevant experience
Location: Noida
Notice period : Immediate to 30 days joiners
Must have: AWS, Spark, Python, AWS Glue, AWS S3, AWS Redshift, Sage Maker, AppFlow, Data Lake Formation, AWS Security, Lambda, EMR, SQL
Good to have:
Cloud Formation, VPC, Java, Snowflake, Talend, RDS, Data Bricks
Responsibilities:
- Mentor Data Architect & Team and also able to Architect and implement ETL and data movement solutions like ELT/ETL/Data pipelines.
- Apply industry best practices, security, manage compliance, adopt appropriate design patterns etc
- Able to work and manage tests, monitors, manage and validate data warehouse activity including data extraction, transformation, movement, loading, cleansing, and updating processes.
- Able to code, test and dataset implementation and maintain and define data engineering standards
- Architect, Design and implement database solutions related to Big Data, Real-time/ Data Ingestion, Data Warehouse, SQL/NoSQL
- Architect, Design and implement automated workflows and routines using workflow scheduling tools
- Identify and Automate to optimize the performance.
- Conduct appropriate functional and performance testing to identify bottlenecks and data quality issues.
- Be able to implement slowly changing dimensions as well as transaction, accumulating snapshot, and periodic snapshot fact tables.
- Collaborate with business users, EDW team members, and other developers throughout the organization to help everyone understand issues that affect the data warehouse.











