BPCS & LX Technical Support with IBM iSeries or AS400

JOB DETAILS:

- Job Title: Lead I - Data Science - Python, Machine Learning, Spark 

- Industry: Global Digital Transformation Solutions Provider

- Experience: 5-10 years

- Job Location: Pune

- CTC Range: Best in Industry

JD for Data Scientist

Hands-on experience with data analysis tools:

Proficient in using tools such as Python and R for data manipulation, querying, and analysis.

Skilled in utilizing libraries like Pandas, NumPy, and Scikit-Learn to perform in-depth data analysis and modeling.

Skilled in machine learning and predictive analytics:

Expertise in building, training, and deploying machine learning models using frameworks such as TensorFlow and PyTorch.

Capable of performing tasks like regression, classification, clustering, and recommendation, leading to data-driven predictions and insights.

Expertise in big data technologies:

Proficient in handling large datasets using big data tools such as Spark.

Skilled in employing distributed computing and parallel processing techniques to ensure efficient data processing, storage, and analysis, enabling enterprise-level solutions and informed decision-making

Skills: Python, SQL, Machine Learning, and Deep Learning, with mandatory expertise in Generative AI.

Must-Haves

5–9 years of relevant experience in Python, SQL, Machine Learning, and Deep Learning, with mandatory expertise in Generative AI

******

NP - Immediate joiners only

Location-Pune 

Job Summary:

We are seeking a SAS Data Integration Developer to design, develop, and maintain Campaign Management Data Mart (CMDM) solutions, integrate multiple data sources, and ensure data quality for marketing analytics and campaign execution.

Key Responsibilities:

• Data Integration & ETL Development
• Develop data ingestion, transformation, and deduplication pipelines.
• Standardize, cleanse, and validate large-scale customer data.
• Work with GaussDB, SAS ESP, APIs, and SAS DI Studio for data processing.
• Master Data Management (CMDM) Configuration
• Implement unification & deduplication logic for a single customer view.
• Develop and manage data masking & encryption for security compliance.
• API & CI360 Integration
• Integrate CMDM with SAS CI360 for seamless campaign execution.
• Ensure API connectivity and data flow across platforms.
• Testing & Deployment
• Conduct Unit, Integration, and UAT Testing.
• Deploy CMDM solutions to production and provide knowledge transfer.

Key Skills Required:

• SAS Data Integration Studio (SAS DI Studio)
• Design, develop, and maintain Campaign Management  Data Mart  (CMDM)
• Data Management (SAS Base, SQL, Data Cleansing)
• SAS ESP, GaussDB, and API Integration
• Data Governance (RBAC, GDPR, PII Compliance)
• Data Masking & Encryption Techniques

• Understand the business and the potential to promote the business and brand.
• Analyzing market and sales information
• Identification of prospective clients.
• Preparing a go-to-market strategy on digital, social media and print media
• Set up a Brand identification strategy and execution plan
• Research competitive products by identifying and evaluating product characteristics, market share, and pricing, and maintaining research databases.
• Tracks product line sales and costs by analyzing data and reviewing the competitor's reach
• Supports sales staff by pre-sales tasks, providing sales data, market trends, forecasts, account analysis, and new product information; relaying customer services requests
• Follow up with Clients through the CEO's contacts
• Website maintenance and press releases
• Marketing collateral – creation and maintenance and presentations
• E – campaign coordination
• Setting up tracking systems for marketing campaigns and online activities
• Reporting to management on marketing and sales activities

• 3+ years of relevant experience
• 2+ years experience with AWS (EC2, ECS, RDS, Elastic Cache, etc)
• Well versed with maintaining infrastructure as code (Terraform, Cloudformation, etc)
• Experience in setting CI/CD pipelines from scratch
• Knowledge of setting up and securing networks (VPN, Intranet, VPC, Peering, etc)
• Understanding of common security issues