Senior Data Engineer

Miba Group; Maharashtra; On-site; INR 2,400,000 - 3,400,000; Full time

Job summary

Miba Group in Maharashtra, Indien, sucht eine erfahrene Data Engineer zur Gestaltung, dem Aufbau und Betrieb von Datenlösungen mit Databricks und Azure Data Factory. Sie übersetzen Geschäftsanforderungen in technische Lösungen, optimieren ETL-Prozesse und entwickeln Datenarchitekturen, die BI und Analytics unterstützen.

Sie arbeiten eng mit Analytics-, Business-, Produkt- und Führungsteams zusammen, verbessern Datenmodelle, sichern Datenqualität und sorgen für den reibungslosen Lifecycle der

Qualifications

• Diplom/Bachelor-Abschluss in Informatik oder IT.
• Mindestens 8 Jahre relevante Erfahrung im Data Platform-Bereich (Cloud, Data Engineering).
• Erfahrung mit Azure Data Lake, Synapse, Data Factory, SQL Data Warehouse, Azure Blob/Storage Explorer.
• Prozessdesign für ETL/ELT, Datenmodelle und Data Governance.
• Teamarbeit mit Analytics, Business, Produkt- und Führungsteams.

Responsibilities

• Gestalten, bauen und betreiben von Datenlösungen unter Einsatz von Databricks und Azure Data Factory.
• ETL-Optimierung und Datenarchitektur zur Unterstützung von BI/Analytics.
• Sicherstellen von Datenqualität, Genauigkeit und Verfügbarkeit.
• Technische Leadership bei Implementierungen und Produktlieferung.
• Kommunikation mit Stakeholdern auf allen Ebenen.

Skills

Eigenverantwortung

Zuverlässigkeit

Eigeninitiative

Durchhaltevermögen

Kundenorientierung

Kooperationsfähigkeit

Kommunikationsfähigkeiten

Education

Abschluss in Informatik/IT

Tools

Azure Data Lake

Azure Synapse

Azure Data Factory

SQL Data Warehouse

Azure Storage Explorer

Git

CI/CD

PowerShell

Job description

• Proven hands-on experience designing, building, and maintaining data solutions using Databricks and Azure Data Factory.


• Experience in gathering and translating business requirements into effective technical solutions.


• Strong background in building and optimizing ETL (Extraction, Transformation, Loading) processes using Azure Databricks and SQL technologies


• Experience in designing and maintaining data architectures and data models that support business intelligence and analytics


• Ability to implement processes and systems to monitor and ensure data quality, accuracy, and availability


• Demonstrated ability to work with analytics, business, product, and executive teams to improve data models and resolve technical issues.


• Experience delivering and operating data platforms throughout their lifecycle (Development + Operations)


• Capable of providing technical leadership regarding implementation (\"How\") and supporting shared product delivery responsibility


• Excellent verbal and written communication skills for cross-functional collaboration

Ihre Aufgaben

Must Have

• Proven hands-on experience designing, building, and maintaining data solutions using Databricks and Azure Data Factory.


• Experience in gathering and translating business requirements into effective technical solutions.


• Strong background in building and optimizing ETL (Extraction, Transformation, Loading) processes using Azure Databricks and SQL technologies


• Experience in designing and maintaining data architectures and data models that support business intelligence and analytics


• Ability to implement processes and systems to monitor and ensure data quality, accuracy, and availability


• Demonstrated ability to work with analytics, business, product, and executive teams to improve data models and resolve technical issues.


• Experience delivering and operating data platforms throughout their lifecycle (Development + Operations)


• Capable of providing technical leadership regarding implementation (\"How\") and supporting shared product delivery responsibility


• Excellent verbal and written communication skills for cross-functional collaboration

Good To Have

• Experience designing and evaluating tools for data lineage, metadata management, and data quality


• Exposure to DevOps practices in data platform delivery and operations


• Experience working with business units to develop long-term strategies for data platform architecture


• Proactive in identifying and implementing improvements to data architecture and processes


• Familiarity with BI tools and improving data accessibility for data-driven decision making


• Experience supporting teams and IT/D products in data modelling and analysis

Ihr Profil

Soft Skills

• Assuming personal responsibility & demonstrating reliability


• Own Initiatives and perseverance


• Customer Orientation


• Conceptual skills


• Decision making


• Ability to Cooperate


• Excellent written and verbal communication skills

Professional Expertise

• Diploma/Bachelors or equivalent degree in Computer Science, IT, electronics and commu-nications


• Minimum 8 years of professional experience in relevant Data Platform field i.e., Cloud, Data Engineering


• Ability to take ownership for data integration and data management


• Experience with Azure Data Lake, Azure Synapse, Azure Data Factory, SQL Data Ware-house, Azure Blob, Azure Storage Explorer


• Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, cus-tom Azure development etc.


• Experience into SQL stored procedures, Viwes, functions, SAP ODATA etc.


• Knowledge or experience in row level security, GIT, CI/CD, PowerShell scripting an added advantage.


• Knowledge in streaming technologies, containerized services and new technologies in the market is an added advantage.


• Experience with or knowledge of Agile Software Development methodologies.


• Excellent verbal and written communication skills