... 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 ...
... (SARs) and sharing intelligence to combat financial crime. The FIU Data Analyst will directly support the Compliance Technology team to govern the tech stack and data science needs. This role ensures adherence to regulatory requirements and internal policies by directly supporting the FIU’s data science, analytics, and reporting ...
... global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior Data Analyst Experience: 5+ Years Skill Set: Data Analysis, SQL and Cloud (AWS, Azure, GCP) Bachelors degree in Computer Science, MIS, or related fields. - 6-7 years ...
... us a competitive advantage. Data Analyst – Data Cleansing, Data Quality & Data Conformance We are seeking a detail-oriented Data Analyst to support enterprise data initiatives by ensuring high-quality, accurate, and standardized data across business systems. The role involves data cleansing, quality assessment, data conformance, ...
... 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. ...
... 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 ...
... Kinesis.- Modern Data Stack : Design and scale a unified Lakehouse/Warehouse (e.g., Databricks, Snowflake) to handle both streaming telemetry and complex enterprise data (ERP, CRM, MES).- Data Pipelines : Build automated, resilient ETL/ELT workflows using tools like Apache Airflow, dbt, and PySpark to ensure high data quality ...
... discussions with business users, BI analysts, data engineers to understand their data needs and translate them into technical solutions. ● Design and implement data pipelines: Architect and build data pipelines using GCP services like Cloud Dataflow, Cloud Dataproc, and BigQuery to ensure efficient data ingestion, transformation, ...
... 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 ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... 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 ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... modeling, data management, SQL, and data governance tools.- Conduct root cause analysis for data defects and support resolution efforts.- Develop and maintain data quality standards, policies, and procedures.- Collaborate with business stakeholders to define data requirements and metadata.- Support data lineage tracking ...
Senior Data Analyst Location: Chennai Shift: 3PM-12AM (Both ways cab) Mode of Work: Hybrid Job Summary: This role provides an opportunity to work in a dynamic environment, delivering quality solutions to global customers. The candidate should have strong data analytics expertise, including Power BI, ServiceNow, Python, ...
Position Overview: We are seeking a Senior Data Analyst to support ELC SOW 3, with a primary focus on business intelligence development, analytical asset creation, and data-driven insights. The role will contribute directly to the delivery of the first phase of the project and will be responsible for developing scalable, ...
We are seeking a skilled Data Business Intelligence Analyst to join one of the most fast-paced and exciting teams at Tekion. We are redefining and redesigning the automotive datascape with state-of-the-art data models and business intelligence tools. In this role, you will play a crucial part in modeling data, designing, ...
... 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 ...
This role is for one of Weekday’s clients Min Experience: 4+ years Location: Bengaluru, Karnataka JobType: full-time We are looking for an experienced Static Timing Analysis (STA) Engineer to drive pre-layout and post-layout timing analysis and ensure timing closure across block-level and full-chip designs.
... performance measures to ensure simplification, accuracy and reliability of work methods. Maintain governance of SharePoint trackers and document repositories to ensure data integrity and relevancy. Ensure all non-compliances are recorded, reported and actioned in a timely manner. Perform data integrity gap analyses and ensure controls ...