Pune, Maharashtra, India
Not disclosed
On-site
Full Time
We’re Hiring – Join Our Growing Data Team! 🚨 Hi LinkedIn Network 👋 We are actively hiring for multiple Data Science and Data Engineering roles. If you’re passionate about data and want to work on impactful projects with a collaborative team, check out the openings below: 🔹 Sr. Data Scientist 📍 Experience: 5+ years 🔍 Must have: Strong experience in Machine Learning algorithms Hands-on with Regression & Classification models 🔹 Data Analyst (Data Science) 📍 Experience: 3+ years 🔍 Must have: Snowflake, R, Python, SQL Understanding of ML algorithms and data interpretation 🔹 Sr. Data Engineer 📍 Experience: 4+ years 🔍 Must have: Databricks, Python Data Visualization, ETL pipelines Snowflake expertise 🔹 Data Engineer (Spark) 📍 Experience: 3+ years 🔍 Must have: Strong in SQL, Spark, Hadoop Experience with CI/CD, Snowflake, ETL tools If any of these roles resonate with your experience or career goals, feel free to apply or reach out directly. Drop your resume at: [gayatri.yeolekar@mbww.com] Show more Show less
pune, maharashtra
INR Not disclosed
On-site
Full Time
We are seeking an experienced Machine Learning Engineer / Databricks Architect to join our team and contribute to the development of state-of-the-art, scalable ML and big data solutions. The ideal candidate should have over 8 years of experience in designing ML infrastructure and big data systems, with a strong emphasis on Databricks. Possession of Databricks Architect Certification is mandatory for this role. In addition, the candidate should have at least 4 years of practical experience working with Databricks. The successful candidate should be well-versed in orchestration tools such as Airflow, Kubeflow, DAGster, Optuna, etc. They should also have a solid understanding of CI/CD and DevOps tools like Jenkins, Terraform, and CloudFormation. Proficiency in distributed computing technologies including Apache Spark, EMR/DataProc, and Glue is essential for this role. Hands-on experience with containerization and orchestration tools like Docker and Kubernetes will be highly valued. If you are enthusiastic about constructing scalable ML platforms and have a knack for working with modern cloud-native technologies, we are eager to learn more about you! Feel free to reach out by sending a direct message or submitting your resume to [ankita.gupta@mbww.com]. This position is based in Pune and offers a hybrid working arrangement. Thank you for considering this exciting opportunity!,
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