Avance Services

Our client is an Integrated Engineering Consulting and Business Process Solutions organization specializing in BIM, Engineering and BPM services. We are a strong team of 1,200 members, with consistent growth above industry standards and expanding globally with offices in the USA, UK, and delivery centers in India. Position SummaryThe Business Development Executive is responsible for identifying, qualifying, and closing new business opportunities for the company. This includes developing and executing sales plans, building relationships with potential clients, and negotiating contracts. The ideal candidate will have a proven track record of success in sales and strong communication and negotiation skills. Primary Responsibilities: Execute sales plans to meet and exceed revenue goals. Generate new leads through various channels, including cold calling, networking, and online marketing. Build relationships with potential clients. Negotiate contracts. Manage the sales cycle from start to finish. Present and demonstrate products and services to potential clients. Conduct market research and analysis. Stay up to date on industry trends. Manage and track sales pipeline. Report on sales progress to management. Skills and competencies: Strong Communication Skills: Excellent verbal and written communication abilities to effectively present and demonstrate products and services to potential clients. Negotiation Expertise: Skilled in negotiating contracts and managing client relationships to secure beneficial agreements. Lead Generation: Proficient in generating new leads through various channels, including cold calling, networking, and online marketing. Market Research and Analysis: Capable of conducting thorough market research and analysis to stay informed on industry trends and adapt sales strategies accordingly. Sales Cycle Management: Adept at managing the entire sales cycle from initiation to closure, including tracking and reporting on sales pipeline and progress to management. Experience & Qualification Bachelor's degree in business, marketing, or a related field. Mechanical Engg. Preferred. Proven track record of 2 + years in sales, demonstrating success in executing sales plans and exceeding revenue goals. Experienced in lead generation through cold calling, networking, and online marketing. Proficient in negotiating contracts and managing the entire sales cycle. Ability to build and nurture relationships with potential clients. Skilled in presenting and demonstrating products and services to potential clients. Conducts market research and analysis to stay informed on industry trends. Manages and tracks the sales pipeline, reporting progress to management. Quality and process-oriented mindset, with experience in Agile/Scrum methodologies. Effective communication skills for solving day-to-day challenges using best practices. What We Offer Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Type: Full-time Pay: ₹500,000.00 - ₹8,000,000.00 per year Benefits: Health insurance Paid time off Schedule: UK shift Supplemental Pay: Commission pay Performance bonus Quarterly bonus Experience: Business development: 2 years (Required) Outbound sales: 2 years (Required) Cold calling: 2 years (Required) Lead generation: 2 years (Required) Work Location: In person

Position Summary We are seeking a Data Engineer / Lead Data Engineer with deep experience in data architecture, ETL pipelines, and advanced analytics support. This role is crucial for designing robust pipelines to process structured and unstructured data, integrate ML models, and ensure data reliability. The ideal candidate will be proficient in Python, R, SQL, and cloud-based tools, and possess hands-on experience in creating end-to-end data engineering solutions that support data science and analytics teams. Key Responsibilities Design and optimize data pipelines to ingest, transform, and load data from diverse sources. Build programmatic ETL pipelines using SQL and related platforms. Understand complex data structures and perform data transformation effectively. Develop and support ML models such as Random Forest, SVM, Clustering, Regression, etc. Create and manage scalable, secure data warehouses and data lakes. Collaborate with data scientists to structure data for analysis and modeling. Define solution architecture for layered data stacks ensuring high data quality. Develop design artifacts including data flow diagrams, models, and functional documents. Work with technologies such as Python, R, SQL, MS Office, and SageMaker. Conduct data profiling, sampling, and testing to ensure reliability. Collaborate with business stakeholders to identify and address data use cases. Qualifications & Experience 5 to 8 years of experience in data engineering, ETL development, or database administration. Bachelor’s degree in Mathematics, Computer Science, or Engineering (B.Tech/B.E.). Postgraduate qualification in Data Science or related discipline preferred. Strong proficiency in Python, SQL, Advanced MS Office tools, and R. Familiarity with ML concepts and integrating models into pipelines. Experience with NoSQL systems like MongoDB, Cassandra, or HBase. Knowledge of Snowflake, Databricks, and other cloud-based data tools. ETL tool experience and understanding of data integration best practices. Data modeling skills for relational and NoSQL databases. Knowledge of Hadoop, Spark, and scalable data processing frameworks. Experience with SciKit, TensorFlow, Pytorch, GPT, PySpark, etc. Ability to build web scrapers and collect data from APIs. Experience with Airflow or similar tools for pipeline automation. Strong SQL performance tuning skills in large-scale environments. Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,500,000.00 per year Benefits: Health insurance Provident Fund Experience: Python: 6 years (Required) Data Engineer: 6 years (Required) R: 6 years (Required) SQL: 6 years (Required) ETL: 6 years (Required) Machine learning: 6 years (Required) Work Location: In person