... (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving abilities Ownership mindset with a focus on quality and scalability Additional Details ...
... and .NET Core/Web API. Strong expertise in SQL Server development, including T-SQL, stored procedures, functions, and triggers. Hands-on experience with SSIS (SQL Server Integration Services) for data integration and ETL processes. Experience designing, developing, and deploying SSRS (SQL Server Reporting Services) reports ...
... requirements Experience: 8+ years of professional experience in data engineering, with a focus on data modelling and transformation. Programming: Strong proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: ...
... to our DevOps culture and participate in ownership of our designs through production operations. - Support the ongoing maintenance and operations of the data platform. Net / C# - Python - AWS or similar - Snowflake ~ SQL - Experience - 8+ years of software engineering experience with a strong data focus, including designing, ...
... non-technical stakeholders. Data Engineering & Solution Delivery Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms. Ensure data quality, governance, and compliance standards are maintained across analytical solutions. Support deployment, monitoring, and lifecycle management ...
... Pytorch/Tensorflow Experience in Deep Learning applications is a plus Experience with Big Data technologies, e.g.: Spark, Hive, and Presto, and ETL pipelines is a plus Diversity, Equity and Inclusion at Angel One At Angel One, our culture is rooted in Diversity, Equity, and Inclusion. As an equal opportunity employer, we welcome ...
... stakeholders actually use. - Clear, confident communicator who can explain technical findings to non-technical audiences and defend a recommendation in the room. IITs, IIMs, ISI, BITS Pilani, or equivalent top-tier institutes) in a quantitative discipline - Computer Science, Statistics, Mathematics, Engineering, or Economics.
... Analyst to join our growing analytics team. The ideal candidate will have strong technical expertise in data analysis, along with the ability to translate complex data into actionable business insights. This role requires close collaboration with clients and internal stakeholders to drive data-driven decision-making. Design, ...
... lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks + Spark experience in production (debugging, performance tuning, ...
... record in managing deliveries of advanced analytical solutions in an agile & iterative model. - Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms - Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects - Synthesizing findings and insights through ...
... history, decide whether it's an enforcement problem or a pricing problem, and defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at scale - Solid ...
... playing a pivotal role in scaling our business outcomes through data-backed https://jobeax.com/link/1GRkeqsx7iRFVaFD Responsibilities : - Architect and maintain complex SQL queries to extract, clean, and transform large datasets, ensuring stakeholders have access to reliable and timely information.- Design and deploy interactive ...
... experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that directly support business growth, demand planning and supply-chain https://jobeax.com/link/nEC7Pw3JSppzjDvo RESPONSIBILITIES :- Build and scale robust time-series forecasting models for demand, sales and supply-chain metrics.- ...
... https://jobeax.com/link/0tczEVIPDdr4h8mr Have :- Strong experience developing data integration, ETL/ELT, batch processing, and scheduled data delivery solutions.- Proficiency in SQL and experience working with enterprise data sources, file-based integrations, and analytics platforms.- Ability to analyze source-system structures and implement ...
... pipelines for our analytics needs. Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs ...
... criteria, UAT support). Strong ability to translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). ...
... SolrCloud, and query optimization. - Practical experience with Redis cluster mode, persistence (RDB/AOF), Pub/Sub, and data structure best practices. - Knowledge of SQL databases such as MariaDB, MySQL, PostgreSQL, and Galera-based clusters including replication, high-availability configurations, and query optimization. - Solid ...
... 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 ...
... large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, and cloud data platforms. Strong understanding of statistical methods and model diagnostics, including hypothesis testing, confidence intervals, ...