... years of experience as a Data Analyst or Analytics-focused Engineer . Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ML outputs and evaluation metrics . Ability to work with large, complex datasets and draw reliable insights. Experience writing clean, ...
... data infrastructure remains a competitive asset in a fast-paced https://jobeax.com/link/CO851KAPNv79RH57 Responsibilities : - Architect and maintain complex data models that serve as the foundation for enterprise-wide reporting and advanced analytics, ensuring high data integrity and performance.- Lead the end-to-end design ...
... Inputting data accurately and efficiently into our systems 2. Maintaining and updating databases with the latest information 3. Generating reports and analyzing data using MS-Excel 4. Ensuring data integrity and quality control measures are followed 5. Collaborating with team members to optimize data management processes 6. ...
... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...
... well-documented code that others can understand and maintain All About You passionate about using data visualisations to tell stories 1–3 years experience in creating data visualisations proficient in R or Python proficient in using code to clean data, transform, and aggregate data familiar with version control concepts and tools ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... Python for data engineering workloads.- Demonstrated experience building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data.- Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions).- Hands-on experience ...
... production-ready Tableau dashboards. ~ Data Querying (Mandatory): Expert-level command of SQL for data extraction and manipulation. - Proven experience working with data in the Fintech, Banking, or Financial Services sectors. - Soft Skills: Proven ability to engage with non-technical business leaders to understand their data needs ...
... bringing passion and customer focus to the business. Data Engineer (data integration and streaming platforms) Data Engineer with strong experience in event-driven data integration and streaming platforms, ideally with hands-on expertise in Confluent Kafka and CDC technologies. Experience Strong Data Engineering background, including ...
... collaborating with cross-functional teams to deliver impactful https://jobeax.com/link/kJqNDgLAO0HwY2u0 :Bengaluru (Hybrid)Your Future Employer :A leading analytics and AI-driven organization enabling enterprises to leverage advanced data science, machine learning, and Generative AI solutions for business https://jobeax.com/link/YL6tw2G0ApPvLUe6 ...
... and action, translating data into valuable insights and strategies. We work with businesses to create state-of-the-art solutions that push the boundaries of data science. Incorporated in 2017, Ganit was founded by professionals with vast experience in consulting, analytics, marketing, merchandise, operations, and https://jobeax.com/link/mYvMZkpRFRzMWb6X ...
... and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization layers; experience working with Engineering, Data, Analytics, and Technology teams in Agile ...
... contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ...
... Skills Deep knowledge of statistics and mathematics, with experience designing rigorous analyses, testing assumptions and interpreting complex results. Strong data-wrangling and cleaning skills, including working with large or imperfect datasets, resolving quality issues and developing reproducible data pipelines. Strong ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
... focus on Java, Microservices and Kafka Java Microservices Back end Developer Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers - Hands-on experience ...
... Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines. Build and optimize data warehouses, data lakes, and data models. Develop highly available data ingestion and processing systems for large datasets. Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, performance, reliability, ...
... data infrastructure remains a competitive asset in a fast-paced https://jobeax.com/link/CO851KAPNv79RH57 Responsibilities : - Architect and maintain complex data models that serve as the foundation for enterprise-wide reporting and advanced analytics, ensuring high data integrity and performance.- Lead the end-to-end design ...
Project Role: Associate Data Team Lead/Data Team Lead Work Experience: 8+ Years. Work Mode: Hybrid/Homebased Clinical data management, Rave, SSU experience. Shift Timings: 5:00 am -2:00 pm / 2:00 pm – 11:00 pm The shift assignment is purely based on project requirements and the candidate must be open to working in either ...
... orchestration tools (such as Kafka, Redpanda, Airflow, Spark, or Beam) and an understanding of how to run them efficiently. Practical experience leveraging cloud-native data warehouses or lakehouses (such as BigQuery, Snowflake, ClickHouse, or Redshift) for high-performance analytics. Cloud & DevOps Foundations: Solid working knowledge ...