... data science activities, supporting your team to deliver quality outcomes. Key responsibilities include: - Leading the design, development, and validation of data science programming solutions for clinical trials. - Collaborating with biostatisticians, data managers, and clinical teams to develop data specifications and ...
... dashboards that visualize key performance indicators, enabling management to monitor business health in real-time.- Partner with internal business units to translate ambiguous requirements into structured data models and analytical frameworks that solve critical operational challenges.- Conduct deep-dive exploratory data analysis ...
... highly accurate data entry and data validation professionals to contribute to a project focused on evaluating and improving AI systems. You’ll create realistic data-entry and validation scenarios involving complex datasets, identify and document errors, define correct outcomes, and develop detailed evaluation criteria. The ...
... highly valued Proficiency in Python and modern data/ML engineering tooling Experience with CI/CD practices, containerization, and DevOps principles applied to data and AI systems Ability to operate across the full stack — from raw data through model serving infrastructure 7+ years of progressive data engineering experience, ...
... jobs and recurring data pipelines.- Implement data quality checks, control totals, exception handling, and reconciliation processes.- Work with stakeholders, data owners, and vendor teams to validate source data, file formats, mappings, and integration requirements.- Support SIT, UAT, production deployment, and data-output ...
... operations - Legal operations - Other compliance-sensitive data environments Core Skills - Data Entry - Data Validation - Data Quality Assurance - Error Detection - Data Reconciliation - Accuracy Control - Data Integrity - Format Reconciliation - Dataset Curation - CSV & Spreadsheet Validation - PDF Data Review - Document Validation ...
... globally renowned vacation planning company from the US) statical methods, metrics, Analytical, Data Analysis, Marketing Concepts, Problem Solving Attitude, Python, SQL, Tableau A globally renowned vacation planning company from the US is Looking for: Senior Data Analyst - Integrated Marketing The client is the world's ...
Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...
... you will do :- Translate business questions into clear metrics and an analysis plan.- Prepare and analyse large datasets using SAS, SQL and Python.- Reconcile data sources, validate calculations and investigate discrepancies.- Identify what is driving performance and recommend actions supported by the data.- Deliver findings ...
... orchestration tools.- Familiarity with Microsoft Purview (or equivalent) for data governance, cataloging, and lineage, plus working knowledge of Azure security, networking, and identity (Entra ID, Private Link, Key Vault, RBAC).- Hands-on scripting/programming in Python, SQL, and/or Spark, and IaC experience. (ref:hirist.tech)
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, ...
... subject matter expert in SQL and database performance. What You Will Do As A Data Warehouse Engineer Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer. Expert SQL Execution: Develop high-performance SQL scripts for complex data transformations, ensuring accuracy across multiple datasets. ...
... Spark SQL. - Extensive experience with Apache Kafka, Apache Flink, and other relevant streaming technologies. - Proven ability to design and implement automated data pipelines and materialized views. - Proficiency in Python, Unix or similar languages. - Good understanding of SQL oracle, SQL server or similar languages. - Ops ...
Data Engineer III/ IV - IN (Operation/ Supports) Work Location - Remote Work From Home Shift: Rotation Shifts (24/7) Experience: 7-12 years The Data engineer is responsible for managing and operating upon Databricks, Dbt, SSRS, SSIS, AWS DWS, AWS APP Flow, PowerBI/Tableau. The engineer will work closely with the customer ...
... data models in Snowflake for analytics and visualization. Ensure data accuracy, performance optimization, and visualization best practices. Work closely with data engineering to ensure smooth data integration and pipeline readiness. Troubleshoot issues related to data, performance, or visualization logic. Overall 5+ years ...
... processes to gather data from various sources. Write clean, testable Python/PySpark code using object-oriented principles and unit testing. Develop and manage databases and data warehouses and optimise database performance and storage across multipul platforms, e.g. Snowflake, PostgreSQL RDS & Aurora. Ensure data quality, ...
... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
MDM Data Engineer Location: Remote (Offshore) Full time Snowflake- 5 Years Master Data Management- 5 Years Scripting – Python- 5 Years SAP/Salesforce/Engage to Graph DB- 5 Years Minimum IT Experience: 8+ Years The MDM Data Engineer will build and operate the data pipelines, models, and profiling capabilities that power ...
... datasets (up to 100GB) without the overhead of a distributed cluster. - Hybrid Execution Patterns: Ability to identify when to use heavyweight compute (PySpark/Databricks) versus lightweight compute (DuckDB/Python) to minimize cloud costs and reduce job latency. - Experience using DuckDB to directly query data stored in S3/Azure ...