lasashound.blogg.se - Catia v5 job

#CATIA V5 JOB PLUS#

Domain experience in finance/ human resource/ procurement/ manufacturing/ supply chain/ sales & marketing.

#CATIA V5 JOB PLUS#

Certification on AWS cloud services / Big data technology is a big plus.

Experience visualizing/presenting data for stakeholders using: PowerBI, Tableau, QuickSight.

Experience working with AWS cloud services: AWS Glue, Lake Formation, S3, Redshift, EMR, EC2, Athena, is added advantage.

Familiarity with cloud-native approaches to data warehousing, including raw data storage, scalable data stores, elastic compute, and support for multiple marts.

ETL, streaming, Change Data Capture (CDC), micro-batches, and self-service data preparation)

Experience working with multiple data ingestion patterns, (e.g.

Experience working with various source systems like SAP/ BW/ IoT/ Flat Files/ APIs integration using Theobald, AWS Kinesis, AWS Flat File Gateway, AWS Glue respectively.

Experience querying databases and using statistical computer languages (Python, PySpark, Lambda function, Scala, SLQ, etc.) to manipulate data and draw insights from large data sets.

2-3 years of advance & relevant experience in data engineering techniques (data querying, transformation, ingestion, cataloging, modelling & storage, etc.).

08+ years of proven experience in data engineering for operational & managerial reporting/ analytics.

Develop strong functional knowledge and business stakeholder relationship with every project.īackground & Experience: The ideal candidate:.Continuously focus on building competency in new/future technologies and solutions pertaining to data, reporting and analytics.Evaluate and drive continuous improvements/ innovation in reporting/ advance analytics.Coordinate with different functional teams to implement data models, architecture and monitor outcomes.Experience working in a fast-paced environment, comfortable navigating conflicting priorities and ambiguous problems.Manage and execute various projects from start to finish including project management, data gathering and manipulation, estimation, synthesis and modeling, problem solving, and communication of insights and recommendations.Create data pipelines, workflows and collaborate with analytics and data science teams.Experience in data pipeline building and data wrangling, should be comfortable optimizing data systems and building them grounds up.Responsible for expanding and optimizing existing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.Work with various stakeholders of Insight & Data Services throughout the organization to identify opportunities for leveraging company data to drive business solutions.Business acumen is a must have and will be most required for this position. You will have a true hands-on approach, strong analytical skills, including the ability to gain true insights from data, and be an effective communicator. The ideal candidate is a natural self-starter who is comfortable working within a cross functional environment, supporting multiple stakeholders and initiatives. This is done by leveraging AWS cloud based data analytics platform. Roles and Responsibilities The Position (Key Responsibilities): You will work with business leaders, their teams, and their various stakeholders to help discover, deliver, monitor and enhance various business goals and initiatives. Site Engineering / Project Management (3)įurnishings / Sanitaryware / Electricals (1) Operations Management / Process Analysis (3)