Qualification: Strong SQL and data transformation skills Experience in programming or scripting languages such as Python, C#, Java, JavaScript/TypeScript Understanding of ETL/ELT process fundamentals Experience in designing, developing, and maintaining robust and scalable test automation frameworks such as Playwright, Selenium, or Cypress Experience in testing of data with tools such as PowerBI, DBT, and Snowflake (nice to have) Experience with GitHub Actions or similar platforms for automating and managing test workflows. Responsibilities: Translate project requirements into effective and comprehensive test cases. Define clear testing objectives that align with overall project goals. Establish the testing scope, prioritizing critical features and functionalities. Document expected deliverables, such as detailed test plans , scripts , and reports . Use dbt to build tests that ensure the ETL process is working as intended Automate the common manual testing done by the QA through creating macros in dbt Build and monitor automated system health checks Collaborate with Enterprise Data Engineers to investigate the root cause of issues and suggest resolutions. Orchestrate data testing solutions using Airflow Be able to support the team in doing releases Develop and maintain test automation frameworks, integrating them with CI/CD pipelines. Collaborate effectively with developers to implement testing strategies at lower levels, facilitating a "shift left" approach and promoting early defect detection. Take ownership of application quality from requirements gathering through development and testing, ensuring a high standard of product excellence

Are you a skilled recruiter with a passion for finding top talent? Talent Quotient Partners LLP is seeking an enthusiastic Associate Recruiter to join our dynamic team! As an Associate Recruiter, you will have the opportunity to showcase your recruitment expertise and English proficiency while playing a crucial role in our hiring process. Key Responsibilities Collaborate with hiring managers to understand their staffing needs and develop recruiting strategies Source, screen, and interview potential candidates to assess their qualifications and fit for various positions Utilize various recruiting tools and platforms to attract and engage top talent Coordinate interviews and follow up with candidates to ensure a positive experience throughout the hiring process Assist in negotiating offers and closing candidates to ensure successful hires Maintain accurate and up-to-date candidate records in our applicant tracking system Stay current on recruitment trends and best practices to continuously improve our recruitment processes If you are a proactive and detail-oriented individual with a strong command of English, we want to hear from you! Join us at Talent Quotient Partners LLP and be a part of our mission to connect exceptional talent with rewarding career opportunities. Apply now to take the next step in your recruitment career! About Company: A Talent Advisory Firm founded by highly experienced executives with a proven track record of scaling organizations by leveraging structured programs to scale talent capability & capacity. We advise and support our tech sector clients to address their talent & growth scaling needs, with a special focus on product development, data analytics & cloud engineering. Show more Show less

Must-Have Qualifications: 1- 3 years of experience in a staffing/recruitment consulting firm/BPO/ Sales Background. Strong ability to study and understand job requirements, not just skim through them. Comfortable with using job boards, LinkedIn, and community networks for sourcing. Fluent in English, with strong written and verbal communication skills Personable, relationship-driven, and confident with both candidates and clients Results-oriented mindset with a focus on quality and selection over volume Excel skills and data orientation are a plus Based in or around Baner, Pune (this is a work-from-office role) Your Key Responsibilities: Highlight relevant career opportunities to tech talent from our communities. Conduct intake meetings with clients to understand role context and selection criteria Use job portals, social media, and tech communities to identify and engage talent Represent the clients brand authentically to potential candidates Shortlist, schedule, and guide candidates through the hiring process Share candidate reports and status updates with clients Build talent pipelines for future needs and stay in touch with high-potential candidates Manage assigned client accounts with a focus on high-quality delivery. Proactively suggest process improvements or solutions to challenges. Potential to manage a small team (25 people) and contribute to client growth

Must Have: 1. Strong background in machine learning (unsupervised and supervised techniques) with significant experience in text analytics/NLP. 2. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc. 3. Strong programming ability in Python with experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc. 4. Good knowledge of database query languages like SQL and experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB) 5. Excellent verbal and written communication skills, 6. Excellent analytical and problem-solving skills 7. Degree in Computer Science, Engineering or relevant field is preferred. 8. Proven Experience as Data Analyst or Data Scientist Good To Have: 1. Familiarity with Hive, Pig and Scala 2. Experience with Data Visualization Tools like matplotlib, plotly, seaborn, ggplot, etc 3. Experience with using cloud technologies on AWS/ Microsoft Azure "

We are seeking a strategic and experienced leader to head our Data Intelligence Group. This Vice President role will be responsible for leading and mentoring a high-performing team of Associates and Analysts, while driving critical initiatives in data migration, data management, architectural design, and advanced analytics across client engagements. The ideal candidate is a seasoned data professional with a strong background in large-scale data projects, advanced analytics, and Big Data technologies. A deep understanding of Machine Learning (ML), Artificial Intelligence (AI), and a working knowledge of Generative AI is essential. This position offers a dynamic path for learning and growth, with high visibility and active involvement in stakeholder and client management. Key Responsibilities: Lead and manage large-scale data migration projects, ensuring quality execution and client satisfaction Design and implement data management strategies and architecture that align with business goals Drive advanced analytics initiatives, utilizing data to inform strategic decisions Act as a trusted advisor to clients, regularly engaging to understand needs and deliver impactful solutions Collaborate with cross-functional teams to design and deploy ML and AI-based solutions Manage multiple concurrent projects across different clients with effective resource planning and delivery excellence Champion best practices in data engineering and analytics, promoting a culture of continuous improvement Mentor team members in cutting-edge areas such as NLP, predictive analytics, and LLMs Stay current with emerging technologies and industry trends to maintain a competitive edge Technical Focus Areas: Data Engineering & Management Artificial Intelligence (Machine Learning, Deep Learning, Generative AI) Cloud Architecture & Analytics (Azure, AWS, GCP) DevOps & Platform Engineering Software Development & Application Architecture Business Intelligence Tools (Power BI, Tableau) Qualifications: 10+ years of experience in data management, solution architecture, analytics, and project leadership Demonstrated success managing large-scale data migration and analytics initiatives Expertise in cloud architecture and enterprise-scale data solutions Strong proficiency in ML, AI, and Generative AI applications Experience working with clients in the BFSI (Banking, Financial Services, and Insurance) domain preferred Educational Background: Bachelor's degree in Technology (B.Tech) or Master of Computer Applications (MCA) required MBA or MS in a relevant field is preferred

We’re seeking an experienced Area Sales Manager with a strong track record in Oncology, Diagnostics, Pharma, or Lifesciences to drive business development and build impactful relationships in the cancer care ecosystem. This is an on-field leadership role focused on selling oncogenomics and hemato-oncology solutions to oncologists, hospitals, diagnostic labs, and cancer clinics. Key Responsibilities: Lead and manage end-to-end sales operations in your assigned territory Build and nurture relationships with oncologists, pathologists, and hospital administrators Promote genomic diagnostic offerings and precision testing solutions Drive B2B partnerships with hospitals and diagnostic centers Attend and represent at industry events, CMEs, and medical conferences Support clients with financial counselling, pricing discussions, and post-sales service Consistently achieve sales targets and share market intelligence Ideal Profile: 3–6 years of field sales experience in Oncology, Diagnostics, Pharma, or Lifesciences Strong existing network in the oncology/healthcare domain Excellent relationship-building and negotiation skills Willingness to travel extensively within the assigned geography

Role & responsibilities Must Have: - Spark development with batch and streaming experience - Experience with Pyspark and Data Engineering - Hands on Experience in Spark, Hadoop, HDFS and YARN - ETL implementation and migration to spark - Programming knowledge on scala, Java & Python - Experience with Kafka and Spark streaming (Dstream and Structured Streaming) - Experience with using Jupyter notebooks or any other developer tool - Experience with Airflow or other workflow engines Good to Have Skills: - Flink and Kudu streaming - Automation of workflows CI/CD - Nifi streaming and transformation - Informatica workflow migration.