I am BHARAT LOHMORE, a Technical Recruiter with Next Level Business Services, Inc., one of the fastest growing IT staffing and services firm in the nation specializing in staff augmentation for end to end Enterprise IT Solutions. I viewed your resume on one of the job boards; I understand that you may be actively looking for new opportunities. I am trying to fill up a consulting position for one of our major clients for an important project. More about the project details are given below:
Position:1
Role: Big Data Lead
Location: Tampa, FL
Duration: Long Term
JD:
| 1. Around 7+ years of experience in Big Data, Stream processing, Real-time and Batch processing. 2. The Big data lead must be have hands on technical areas comfortable with ‘rolling up his/her sleeves’ to help the team design, develop, and test integration software. 3. Experience with Big Data, Distributed Stream processing and Message Broker technologies like Cloudera Hadoop ecosystem, HDFS/Hive/Impala, Storm, Sqoop, Striim and Kafka. 4. Strong experience with Java and Scala programming language 5. Experience with implementing Dev portion of the DevOps CI/CD cycle – code management, Unit testing, build and deployment scripts. 6. Experience in working with teams and demonstrate collaborative skills across team members 7. Must be a self-starter, motivated individual who works well under pressure 8. Flexible and resilient, comfortable with ambiguity, adaptable to a high change environment |
9. Experience analyzing and designing deliverables in an Agile environment is required
Position:2
Role: Data Engineer
Location: Chicago, IL/ Richmond, VA/ Mclean, VA/ Wilmington, DE
Duration: Long Term
JD:
5+ years of experience (Sr-level) Strong Programming experience with object-oriented/object function scripting languages: Scala
5+ years of experience (Mid-level) Experience with big data tools: Hadoop, Apache Spark etc
1+ years of strong technical Experience with AWS cloud services and DevOps engineering: S3, IAM, EC2, EMR, RDS, Redshift, Cloudwatch with Docker, Kubernetes, GitHub, Jenkins, CICD
Experience with stream-processing systems: Python, Spark-Streaming, etc. (Nice to have)
1+ Years of experience with relational SQL or, Snowflake and NoSQL databases, like Postgres and Cassandra.
Position:3
Role: Machine Learning Engineer or Data Scientist (Domino Data Labs experience is a must)
Location: Remote
Duration: Long Term
JD:
- Domino Lab , GCP ML Orchestration
| · 5+ years of experience of ML Data Science work |
| BS in Computer Science, Information Technology, Business / Management Information Systems, or related field |
| · Typically, minimum of 4 years - Professional Experience in Coding, Designing, Developing and Analyzing Data in DS setting |
| Create end to end ML workflow, training pipelines, engineer new features, monitor training process, unit testing |
| Coding and architecting of end-to-end applications on modern data processing technology stack: Hadoop, Hive, AWS Cloud, Spark ecosystem technologies |
| Work on analytics application infrastructure analysis & requirements (e.g., configuration, access, tools, services, computing capacity, etc.) |
| Test components of the pipeline and deploy them into a target environment |
| Enable sharing models and collaboration to improve model management with a model registry |
| Define model serving options, create testing pipeline in production for Batch and Real Time models |
| Enable model monitoring for detection of anomalies, early alerts, and triggering ML pipelines for retraining |
| Unify all the processes and automate entire release process with CI/CD orchestration |
| Strong DevOps, Data Engineering and ML background with AWS |
| Experience with one or more of MLOps tools: ModelDB, Kubeflow, Airflow, Pachyderm, and Data Version Control (DVC)etc. |
| Experience in Distributed computing, Data pipelines, and AI/ML. |
| Experience setting up and optimizing DBs for production usage for ML app context |
| Experience in Docker, Kubernetes, Jenkins. |
| Experience in Spark, Kafka, HDFS, Cassandra |
| Strong Python, Apache Spark, Kubernetes |
Position:4
Role: Sr Python Developer
Location: Remote
Duration: Long Term
JD:
| Primary Skills: Python/AWS Lambda/Cloud DB Roles and Responsibilities
|
Role: AWS/Snowflake Consultant
Location: Peoria, Illinois
Duration: Long Term
JD:
|
Position:6
Role: Reltio Lead
Location: Cary, North Carolina
Duration: Long Term
JD:
|
Position:7
Role: Kafka Developer
Location: Charlotte, NC
Duration: Long Term
JD:
| Overall 10+ years of IT experience Strong data engineering experience Strong Data Pipeline experience using Kafka · Experience in developing kafka topics · Strong experience on Kafka, Unix/Linux · Strong SQL skills · Experience in Hadoop ecosystem · Workflow management - oozie, Airflow - preferred · Experience on Teradata |
Position:8
Role: Data Architect
Location: Philadelphia, PA
Duration: Long Term
JD:
| Primary:- Oracle PL/SQL Secondary:- Spark/Python, any ETL tool |
Understand the pain points from the business users and identify data solutions
• Conceptualization of Data solution and walkthrough with business stake holders for approval
• Create technical design of the data solution and technical specifications, performance bench marks
• Prepare implementation / migration plan and data validation guidelines
• Need to interact with the Clients and Product Owners.
• Need to have good communication and interpersonal skills.
• Good to have sound knowledge in multiple ETL to have good exposure in ETL.
• He should have worked in Waterfall and in Agile Model.
• He should have worked with Clients on requirement Gathering.
• Must be able to look beyond the detailed requirements to understand what the business is trying to do
• Must be able to develop and maintain documentation to industry standards
Position:9
Role: SAP Retail Master Data Consultant
Location: Chicago, IL
Duration: Long Term
JD:
§ Facilitate the implementation and support of SAP Retail
§ Perform detailed analysis of complex business process requirements and provide appropriate system solutions; identify, interpret, validate and document customer requirements
§ Ability to support all stages of a Master Data implementation project
§ Understand Retail Business Practices/ Best Practices and the customer environment
§ Ability to solve functional and technical obstacles with customers
§ Work closely with the customer and project team to define business requirements and provide recommendations to improve business processes
§ Ability to provide recommendations with regards to future business and solution opportunities
§ Define detailed blueprint for development requirements Desired Skills & Experience
§ Minimum six years consulting experience in Retail & SAP Master Data application
§ Has experience with minimum of two full cycle implementations
§ Expertise in SAP Master Data e.g. article master, BOM’s, hierarchies, site master, vendor, assortment, listing, etc.) and Conversion tools (LSMW, BDC etc.) and practices are expected
§ Understanding of SAP IT product and project life cycle
§ Profound understanding of Retail Merchandising Processes with focus on Master Data Creation, Maintenance, Listing, Conversation and Usage
§ Good understanding of Retail industry specific business processes
§ Ability to multitask and manage multiple deliverables and projects concurrently.
§ Ability to work in a team environment, effectively interacting with others
§ Must be result-oriented and demonstrate attitude – adaptability, flexibility and resourcefulness
§ Ability to provide recommendations with regards to future business and solution opportunities
Position:10
Role: SAP APO Consultant
Location: ST Paul, MN
Duration: Long Term
JD:
· Experience in setting up and rolling out new plants & locations via CIF · Experience in APO PPDS config, scheduling board · Experience in Capacity Planning, LTP, Demand Management, Planning Strategies including Make-to-Stock and Make-to-Order scenarios, MRP · Experience in master data, BOM, Master Recipe, Production version , Process Order Types, order & PI sheet processing
· CVC creation, process chain setups and maintenance · Stat forecasting and alerts management. · 3 or more full cycle implementations including: Scoping and Planning, Process Design, Configuration, Testing, Deployment, and Post Go-Live Support |
Thanks,
Next Level Business Services, Inc.
Talent Solutions | Digital Transformation | Data Analytics
BharatLohmore
11340 Lakefield Drive Suite #200,
Johns Creek, GA, 30097
(904) 371-2977
bharat.lohmore@nlbservices.com
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