... experience in transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data https://jobeax.com/link/cZ8zpMXwj45ivho4 Responsibilities : - Own data architecture and system design decisions for data pipelines and data models.- ...
... to 10 years of experience in Data Analysis / Data Analytics.- Strong proficiency in SQL, Excel (Pivot Tables, Advanced Functions), and Python.- Experience in data modeling, reporting, and dashboarding.- Strong analytical and problem-solving skills.- Ability to work with large and complex datasets.- Excellent communication ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... their most complex data at the largest scale. We are looking for a Data Analyst to support the Finance and Central Operations organization and help build the data infrastructure, reporting, and analytics that power financial and operational decision-making. This role combines analytics, data engineering, and applied data ...
... client - A specialist analytics consulting firm helping banks and lenders solve complex business problems through data, insights and technology. All applications come to MantriAI first. We screen, and only shortlisted profiles reach the client. Company details are shared after the screening https://jobeax.com/link/MrzWJ8pKvMgx5A2d ...
... methods, machine learning tools, visualization and/or statistical techniques along with domain knowledge to generate actionable insights and provide optimized recommendations. Time Series Analysis, Computer Vision, Natural Language Processing, Generative AI, Commercial Analytics. Data Science, Computer Science, IT, Chemical ...
Position : Azure Architect (Data & AI)Overall/Total Experience : 10 - 12 yearsLocation : GurugramWorking Days : 5 Days from OfficeNotice Period Requirement : 30 Days (Maximum)Client's Company Size : Startup / Small EnterpriseRoles & Responsibilities : - Design end-to-end data architecture on Azure covering ingestion, storage, ...
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 ...
... 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. ...
... processes for batch and streaming analytics requirements. Optimize and troubleshoot distributed systems for ingestion, storage, and processing. Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs. Ensure data security, integrity, and compliance throughout the infrastructure. ...
... Experience/Education Requires a Bachelor's degree in computer science or other related field plus 10+ years of hands-on experience in configuring and managing AWS/tableau and databricks solutions Experience with Databricks and tableau environment is desired research of various sources such as databricks/AWS/tableau documentation that may ...
... 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 ...
... You'll work with modern cloud technologies and data engineering tools to develop robust batch and streaming pipelines, manage large-scale datasets, and ensure data is accurate, secure, and accessible. Collaborating closely with analysts, engineers, product teams, and stakeholders, you'll help transform complex data into ...
... Azure Databricks, Synapse or similar Solid SQL and data transformation experience Experience building ETL/ELT pipelines for analytics workloads Understanding of data modelling and working with BI teams Experience working with ERP data (Oracle ERP a plus) Comfortable in a collaborative, remote team Details Contract: 6 months ...
... integration is highly desirable across the team but is not required for both resources. The combined team should provide broad coverage across data engineering, data modeling, data quality/profiling, and MDM domain delivery. Delta is emerging as one of the fastest growing IT Staffing and professional services company specializing ...
... 'small-to-medium' 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 ...
... members. We are seeking experienced Data Engineering professionals with 4–6 years of hands-on expertise in Big Data technologies, with a focus on building scalable data solutions using Google Cloud Platform (GCP). Key Skills & Experience: Strong programming skills in Python and Bash Solid understanding of SQL and data warehousing ...
... what matters is your ability to leverage whichever tools the problem calls for.- Data Foundations : Strong understanding of modern data architecture: relational databases, data lakes, and cloud warehouses (e.g., Snowflake), including data modeling, pipelines, and SQL. Comfortable working with APIs and whatever data tools the ...