... improved efficiency, and stronger operational performance. Role: Senior Data Scientist Location: Bangalore- Karnataka (Hybrid) Experience: 5+ years Department: Data Science Role Overview We are looking for individuals who sit at the intersection of Data Science and Physical Sciences . You understand that industrial data isn't ...
... SAP MDG, or similar data management solutions. - Strong knowledge of SQL, Windows Server, APIs, cloud platforms (Azure and AWS), infrastructure, GitHub, and DataDog. - Understanding of data governance, metadata management, data quality, and master data management concepts. - Experience with automation and scripting tools ...
... Development Team. The ideal candidate should have strong skills in data handling, statistical analysis, and visualization tools, along with the ability to translate data into meaningful insights. Key Responsibilities : Data Analysis : - Collect, clean, and validate large datasets from multiple sources - Analyze data to identify ...
... for our next Data Intelligence Manager to have the following skills and experiences: - 3-5 years of experience in a data analytics, business intelligence, or data intelligence role - Strong proficiency in SQL and hands-on experience building dashboards in Power BI - Experience working with large datasets across multiple ...
... https://jobeax.com/link/swInpa5fBAvgfaAC Relationships : - This position reports to the Sr. Manager - Data Science IND.- This position has direct reports and should manage leads and engineers across one or more teams or https://jobeax.com/link/NgGZlzoGBjmoDYqh : - Domestic and international travel may be required. (ref:hirist.tech)
Responsibilities: Ingest data from various internal and external sources into AWS Redshift and S3 buckets using methods such as DMS, Zero-ETL, Kinesis, Glue, Lambda, Lake Formation, Cross Account Replication, and SFTP. Build infrastructure as code using AWS CDK. Create and maintain GitLab CI/CD pipelines for code promotion ...
... scalability, maintainability and reliability. Collaborate with business and Data & AI teams to translate business requirements into sustainable and scalable data solutions. Ensure platform reliability, performance, data quality and operational excellence. What You Bring A university degree in Computer Science, Data Engineering, ...
... identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and ...
... like Airflow/Dagster to ensure 24/7 data availability for global markets. - Monitor pipeline health, debug data discrepancies in logs, and implement automated data-quality checks. - Build and maintain REST API-based applications to serve analytics and performance metrics to both internal trading systems and external client ...
... storage. Build and maintain medical imaging data repositories, ensuring seamless access, query optimization, and compliance with healthcare regulations. Implement data processing workflows for clinical imaging data (CT, MRI) to extract, standardize, and structure metadata. Develop scalable solutions for medical imaging data ...
... and improve data quality. Monitor pipeline reliability, data availability and performance. What we're looking for - 5+ years of experience in Data Engineering, Data Operations or a related field. - Strong experience with GCP and Azure data platforms. - Hands-on experience in data pipelines, ETL, databases and data warehousing. ...
... as team standards. Skills & Qualifications - Bachelor's degree in Computer Science, Software Engineering, or related discipline. - 10+ years of experience in data engineering or software development, including 3+ years in a technical lead or architect capacity. - Deep expertise in data warehousing solutions (e.g., Snowflake, ...
... and provide data- driven solutions. Manage multiple disparate data sources and integrate them into a cohesive data platform and dashboards. Develop and implement validation processes to ensure data accuracy and consistency. Utilize pyspark, spark, sql, and Databricks to optimize data processing and querying performance.
... understanding of GCP data services: Expertise in using GCP services such as Cloud Dataflow, Cloud Dataproc, BigQuery, Cloud Storage, Data Catalog, and Data Fusion. ● Data modeling and architecture: Proven experience designing and implementing data models, including dimensional modeling and data warehousing principles. ● Data warehousing ...
... across Manufacturing, Industrial, Consumer, Life Sciences and High-Tech industries. GyanSys provides Digital Transformation services leveraging SAP, Salesforce, Databricks, Snowflake, Application Modernisation and various AI projects. We are looking to add experienced Data Scientist to expand our Microsoft Practice with the ...
Skills Required ~ Data Science Duties & Responsibilities Advanced statistics, predictive analytics. Advanced object-oriented programming Hadoop, MySQL, TensorFlow, Spark Machine learning, data modeling Good aptitude and communication Education & Training ~ IT Education
About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced ...
About this Position The Data Engineer supports the development and operation of Henkel's enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers. As part of a ...
... scripting language (e.g., Python, KornShell) Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data ...
The EDO Sustainable1 DATA OPERATIONS team at S&P Global is a project-focused, international group dedicated to excellence in sustainability data management. We are responsible for one of the world's most complete datasets on corporate sustainability, supporting global investors, corporates, and stakeholders with in-depth ...