BIA -Data Engineering
Vue: 106
Jour de mise à jour: 06-05-2024
Localisation: Hyderabad / Secunderabad Telangana
Catégorie: Informatique Mécanique / Technique Pharmaceutique / Chimique / Biotechnologie Entretien Ressources Humaines Production/Opération Santé / soins médicaux
Industrie: Manufacturing
le contenu du travail
BIA -Data Engineering
Location: India – Hyderabad/Flexible
- Work with various stakeholders of Insight & Data Services throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
- Experience in data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Manage and execute entire projects from start to finish including project management, data gathering and manipulation, estimation, synthesis and modeling, problem solving, and communication of insights and recommendations
- Experience working in a fast-paced environment, comfortable navigating conflicting priorities and ambiguous problems
- Coordinate with different functional teams to implement data models, architecture and monitor outcomes.
- Evaluate and drive continuous improvements/ innovation in reporting/ advance analytics
- Continuously focus on building competency in new/future technologies and solutions pertaining to data, reporting and analytics
- Develop strong functional knowledge and business stakeholder relationship with every project
The ideal candidate:
- 10+ years of proven experience in data engineering for operational & managerial reporting/ analytics
- 3-4 years of advance & relevant experience in data engineering techniques (data querying, transformation, ingestion, cataloging, modelling & storage, etc.)
- 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
- 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 working with multiple data ingestion patterns, (e.g. ETL, streaming, Change Data Capture (CDC), micro-batches, and self-service data preparation)
- Familiarity with cloud-native approaches to data warehousing, including raw data storage, scalable data stores, elastic compute, and support for multiple marts. Data governance knowledge is plus
- Experience working with AWS cloud services: AWS Glue, Lake Formation, S3, Redshift, EMR, EC2, Athena, is added advantage
- Experience visualizing/presenting data for stakeholders using: PowerBI, Tableau, QuickSight
- Familiarity with agile (e.g. scrum, Kanban) and DevOps practices
- Certification on AWS cloud services / Big data technology is a big plus
- Domain experience in finance/ human resource/ procurement/ manufacturing/ supply chain/ sales & marketing
- Excellent interpersonal skills and the ability to successfully interact with stakeholders from senior management to junior staff
- Proactively solves problems and seeks to own the resolution of issues throughout their lifecycle.
- Takes critical feedback in stride, and adjusts approaches accordingly.
- Digitally savvy, able to navigate easily in a virtual world
- Is a team player and not afraid to challenge the status quo
- Has excellent stakeholder management skills, can navigate matrix structures and foster collaborative working
- MBA or Master’s degree in Computer Science, Engineering, Finance, Math, Statistics or a related discipline
Date limite: 20-06-2024
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