... & Data Engineering (AWS) Strong handson experience with AWS data services, including: Amazon S3, AWS Glue, Athena, Redshift Experience designing cloudnative data lakes and data warehouse architectures on AWS Deep understanding of batch and streaming data pipelines Experience building scalable, faulttolerant data ingestion ...
... using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: Work with cross-functional teams, including engineering, product management, ...
... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...
Role OverviewWe are seeking a high-caliber Data Migration Consultant Developer with proven expertise in Guidewire Data Migration methodology and tools . The ideal candidate must hold a Mammoth Certification (Data Migration Track) and bring extensive, hands-on experience in migrating client data from legacy Policy systems ...
... https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, and evaluating state-of-the-art machine ...
... product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, ...
... excellence to enable long-term business growth. The ideal candidate brings strong problem-solving rigor, attention to detail, and is comfortable to work in ambiguity. Has the ability to translate high level abstract problem into actionable data and system problems to enable execution. What your main responsibilities are ...
... optimize Python-based data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience. Knowledge of Python programming for data analysis. Strong understanding of data science methodologies and analysis ...
... Digitalisation Data Engineer Bangalore, Karnataka, India | Working Scheme: On-Site | Job Type: Regular / Permanent / Unlimited / FTE | Reference Code: req23377 A Data Engineer for Smart Operations (Global) is responsible to lead the design, development, and maintenance of enterprise-level data architecture and engineering solutions ...
... validate data from multiple sources Perform exploratory data analysis (EDA) Develop dashboards and reports using BI tools Interpret trends and patterns in complex datasets Present insights to stakeholders in a clear and actionable manner Write SQL queries to extract and manipulate data Automate data processes where possible ...
... members is maximized throughout the year Desired Skills: - Good level of proficiency in a structured programming language, e.g. Python, R. - Experience designing data science solutions to business problems - Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. - Comfortable ...
... dashboards. - Expert-level proficiency in SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - ...
... https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, and evaluating state-of-the-art machine ...
... life. As a part of our transformation, we know that data is at the center of everything that we do. We seek a dedicated professional to help take us to the next level of our Data & Analytics journey. We depend on our Data Analysts to investigate data seeking opportunities to reduce duplicates, improve the quality and discover ...
... lakehouse data domain, its ingestion, models, and quality, that ML and analytics teams rely on you to drive. Who You Are Must-Have - 25 years building production data pipelines: real systems with real consumers, not just one-off scripts - Strong data engineering fundamentals : data modeling, batch vs. streaming, idempotency, ...
... engineering organization. 8-10 years of software engineering experience, with a focus on large-scale distributed mobile systems. - Proven experience turning ambiguous problem spaces into clear, scalable architectural solutions. - Expertise in lower-level Android concerns: bytecode manipulation, custom Gradle plugins, and ...
... security, and system coupling across teams and organizational boundaries. Code Quality & Mentorship Define code review and quality standards adopted across the engineering organization. Mentor senior and mid-level engineers through design reviews and architectural discussions, setting the technical bar for the team. Act as ...
Job Responsibilities :- Hands on (Full Stack) SaaS application design and development concentrating on Artificial intelligence using big data technologies.- Facilitate solution efficiencies, scalability and technology stack leadership.- Ensure fool proof and robust applications through unit tests and other quality control ...
... and Hindi . - Proficiency in any additional regional language (e.g., Tamil, Telugu, Kannada) is a strong plus. - Comfortable with outbound calling and customer-facing roles. - Basic proficiency with CRM systems, call software, and data entry. - Problem-solving attitude with a passion for improving customer experiences.