... compelling and clear business focused insights. Can work with multiple databases and big data solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security ...
Product Owner / Business Analyst Responsible for understanding the business needs. Work as liaison between client and technical team. Work with stakeholders to gather requirements, analyse data, and develop solutions that meet the organization's goals. Experience ~Gather requirements in collaboration with Business users, ...
... ideally within multi-entity, multi-country (APAC) and professional or financial services environments. You demonstrate strong technical capability through advanced Excel skills (data modelling, reconciliation, large datasets), experience with BI tools (e.g., Power BI, Tableau), and a solid understanding of revenue recognition ...
... data-pipeline failures and performance issues.- Collaborate with Data Architects, Data Analysts, Data Scientists, and application engineering teams.- Ensure data pipelines are reliable, secure, scalable, and https://jobeax.com/link/RsyyIRkrDBADG152 Skills:- 6+ years of experience in Data Engineering.- Strong hands-on experience ...
... PySpark, Snowflake, Delta Lake, Kafka, Kinesis, Airflow, and data engineering best practices. Collaborate with various teams and stakeholders to support end-to-end data platform delivery. Demonstrates strong ownership while driving data engineering excellence. Promotes quality-focused engineering through proactive validation, ...
... Science & Supply Chain talent. Collect business requirements from the various stakeholders (Data Scientists, Product Managers, IM) High interest in developing E2E data solutions DevOps/ Agile WoW Experience in designing and building advanced reports Programming languages: Python, PySpark, SQL Data enthusiast Big data frameworks: ...
... reliable, high-quality data, driving excellence in analytics and shaping outcomes that impact industries like H ealthcare and Financial Services . Design and build Data Pipelines using GCP services and BigQuery. Develop and optimize data solutions using Java or Python. Ensure data quality, governance, and compliance across projects. ...
... check that may include fingerprinting Preferred Qualifications Detail-oriented with the ability to manage multiple tasks in a fast-paced, high-volume environment Excellent communicator with empathy and strong listening skills Strong customer service mindset and ability to build relationships with agents and internal partners ...
... (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka. - Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses. - Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake. ...
Role : IT Business Analyst (Oil and Gas) Experience: 3 - 8 yrs Location: Mumbai Education : https://jobeax.com/link/5Im6Nfh21WlEEm2q (CS/IT) degree or https://jobeax.com/link/I8mfbUc80uXESuYw (IT)/BCA + MBA (Full time) Entity: Deloitte Touche Tohmatsu India LLP The team Engineering, AI & Data has to do much more than keep ...
... warehouse. Implement advanced data modeling techniques and design efficient, optimized databases to support complex business needs. Ensure the highest levels of data quality and integrity through rigorous data validation and cleansing processes. Collaborate closely with data scientists and analysts to provide clean, structured ...
Job description: Senior Sales Executive / Team Lead: About NTT DATA: With people at the heart of our success, NTT DATA is committed to attracting and growing the best talent and providing an environment where everyone feels they can belong and their contribution matters. It’s our belief in possibility that drives us, but ...
Join us as a Business Analyst at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. To be successful as a Business Analyst , you should have experience with: Deep Cards & Payments domain knowledge, including card payment life cycle, ...
... Requirements: Strong analytical and troubleshooting skills Ability to identify and troubleshoot new problems as they arise High level critical thinking skills Excellent written and oral communication skills Excellent listening and interpersonal skills Ability to communicate ideas in both technical and user-friendly language ...
Job Role: Senior Data Engineer- Implementation & Modernization Location: Experience: 8+ Years The Data Engineer is responsible for building and optimizing high-performance, large-scaled data solutions on modern cloud platforms. This role focuses on developing Senior Data Engineer- Implementation & Modernization The Data ...
... qualification. ~ Experience ~ Nature of Experience: ~ Proven experience in strategic planning, financial modeling, risk analysis, financial planning, management, data tracking, and lean management. ~ Length of Experience: ~Minimum 2 years of experience working with or for startups. Demonstrated consistency in performance over ...
... in end-to-end data transformation and pipeline development Detailed Job Description Mandatory Technical Skills: Snowflake Data Warehouse Python Scripting DBT (Data Build Tool) Apache Airflow Advanced SQL End-to-End ETL/ELT & Data Pipeline Development Key Requirements Strong hands-on experience in Snowflake data warehousing ...
... exposure to these technologies. ⚠️ If Databricks is not a core part of your recent hands-on experience, this role may not be the right fit. Job Title: Senior Data Engineer Specialization: Data Engineering | Databricks | Lakehouse | Data Platforms | AI-Ready Data Experience: 5+ Years Location: BNG | HYD | PUN | MUM | GGN ...
We're looking for a dynamic Senior Data Scientist to join our team, working alongside our founders, financial analysts, product managers, and engineers. This is your chance to get hands-on with massive datasets, crafting the metrics that matter to institutional investors worldwide. For those who are curious and passionate ...