... Provide deep leadership and coaching in the project delivery lifecycle. Qualifications Education and Experience: - Masters of Science or PhD in computer science, data science, statistics, Natural Language Processing - 2-3 years of experience in GenAI and Large Language Models. - Strong programming skills in Python, including ...
Key Responsibilities : - Design, implement, and manage CI/CD pipelines for data and Hadoop applications.- Develop and maintain automated build, deployment, testing, and release processes.- Work extensively with OpenShift and containerized application environments.- Deploy, configure, monitor, and troubleshoot applications ...
... ensuring their needs are supported through effective data solutions.- Contribute to and adhere to established data governance and security practices, including metadata management, data quality frameworks, and data cataloging, to promote trust and reliability.- Enable business functions with clean, structured data that supports ...
... resolution. This requires extensive knowledge of cash application processes involving research and application of unapplied cash, reconciliation of accounts, and processing emails related to remittance advice from customers. The role requires cross-functional collaboration with collections and other teams. WHAT YOU'LL BE DOING: ...
Data Scientist Starts Immediately Competitive salary Competitive salary Experience Data Scientist RightProfile Mumbai (Hybrid) Full-time 23 yrs Syntellect is building the intelligence layer for lending in markets where bureau data stops. RightProfile our field AI platform is live across India and East Africa, and expanding ...
... reliable, and secure enterprise-level data pipelines for real-time and batch processing. - Analyze existing business processes, identify gaps, and recommend data-driven improvements. - Build modern real-time data solutions using Scala , Apache Spark , and Azure Databricks . - Partner with data scientists and business stakeholders ...
Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...
... basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further ...
... and contribute to strategic decisions on platform evolution, including generative AI integration and event-driven systems. Data Science and Machine Learning - Data Science and Machine Learning - Python Database - Database Programming - SQL Big Data - Big Data - Pyspark Data & AI - Data Engineering - Data Quality & Validation ...
... frontends using TypeScript.- Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript.- Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift).- Deep understanding of microservices architecture and distributed systems.- Familiarity with ...
... : - 10+ years of experience in Software or Data Engineering with large-scale, high-traffic, fault-tolerant systems.- Deep experience with semantic modeling, data lakehouse, and data product development.- Expert-level SQL and Python skills.- Experience with modern data platform technologies : Snowflake, ClickHouse, or similar ...
A data engineer role in the Specialty Data team should be able to analyze data from multiple source system and design/model Data Marts based on business requirements. Therefore, strong data analytics and technical skills are a must. He or She should be able to create data models, STTMs and other technical documents. The ...
... platforms. Strong SQL and data modelling skills with experience designing scalable and reusable data structures. Experience exploring, integrating and engineering data across complex enterprise landscapes and multiple source systems. A solid understanding of data architecture, data governance and modern data engineering principles. ...
About the Role ~ We are looking for a motivated and target-oriented Inside sales Associate with experience in sales, inside sales, or EdTech sales. The role involves connecting with students and prospective learners, understanding their career goals, recommending suitable programs, and converting qualified prospects into ...
... Awareness Adaptability, Adaptability, API Manufacturing, Business Process Creation, Change Controls, Chemical Engineering, CMO Management, Customer-Focused, Data-Driven Decision Making, Drug Product Development, Equipment Qualification, Estimation and Planning, External Manufacturing, Life Cycle Planning, Manufacturing ...
... AUNZ. This role focuses on building and maintaining data pipelines using Databricks (Unity Catalog, DABs, DLT), PySpark, and SQL, delivering enterprise-scale data transformation, and supporting Power BI reporting through well-modelled silver/gold layer datasets. The Data Engineer works closely with the Head of Data & Analytics ...
... robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers. Apply schema evolution and data versioning to support agile data development. Platform Integration & Data Ingestion: Connect and ingest data from enterprise ...
... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
... preferred. You must be comfortable dealing with high-frequency time-series data and geospatial (GPS) data.- Languages : Expert-level proficiency in Python and SQL.- Data Engineering : Deep practical experience with stream processing (Kafka, Spark Streaming, Flink), cloud data warehouses, and orchestration (Airflow, dbt).- AI/ML ...
... strategies. Develop and maintain systems using Python, SQL, PySpark, and Django for front-end development. Work directly with clients and end-users and address their data needs Utilize databases and tools including and not limited to, Postgres, Redshift, Airflow, and MongoDB to support our data ecosystem. Leverage AI frameworks ...