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Data Architect @ Siemens

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 Data Architect

Job Description

As a Data Architect, you are required to:
Design & develop technical solutions which combine disparate information to create meaningful insights for business, using Big-data architectures
  • Build and analyze large, structured and unstructured databases based on scalable cloud infrastructures
  • Develop prototypes and proof of concepts using multiple data-sources and big-data technologies
  • Process, manage, extract and cleanse data to apply Data Analytics in a meaningful way
  • Design and develop scalable end-to-end data pipelines for batch and stream processing
  • Regularly scan the Data Analytics landscape to stay up to date with latest technologies, techniques, tools and methods in this field
  • Stay curious and enthusiastic about using related technologies to solve problems and enthuse others to see the benefit in business domain
Qualification:
  • Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Engineering / Analytics is desirable.
Experience level:
  • Minimum 8 years in software development with at least 2 - 3 years hands-on experience in the area of Big-data / Data Engineering.
Desired Knowledge & Experience:
Data Engineer - Big Data Developer
  • Spark: Spark 3.x, RDD/DataFrames/SQL, Batch/Structured Streaming
  • Knowing Spark internals: Catalyst/Tungsten/Photon
  • Databricks: Workflows, SQL Warehouses/Endpoints, DLT, Pipelines, Unity, Autoloader
  • IDE: IntelliJ/Pycharm, Git, Azure Devops, Github Copilot
  • Test: pytest, Great Expectations
  • CI/CD Yaml Azure Pipelines, Continuous Delivery, Acceptance Testing
  • Big Data Design: Lakehouse/Medallion Architecture, Parquet/Delta, Partitioning, Distribution, Data Skew, Compaction
  • Languages: Python/Functional Programming (FP)
  • SQL: TSQL/Spark SQL/HiveQL
  • Storage: Data Lake and Big Data Storage Design
Additionally it is helpful to know basics of:
  • Data Pipelines: ADF/Synapse Pipelines/Oozie/Airflow
  • Languages: Scala, Java
  • NoSQL: Cosmos, Mongo, Cassandra
  • Cubes: SSAS (ROLAP, HOLAP, MOLAP), AAS, Tabular Model
  • SQL Server: TSQL, Stored Procedures
  • Hadoop: HDInsight/MapReduce/HDFS/YARN/Oozie/Hive/HBase/Ambari/Ranger/Atlas/Kafka
  • Data Catalog: Azure Purview, Apache Atlas, Informatica
  • Big Data Architect
  • Expert: in technologies, languages and methodologies mentioned in Data Engineer - Big Data Developer
  • Mentor: mentors/educates Developers in technologies, languages and methodologies mentioned in Data Engineer - Big Data Developer
  • Architecture Styles: Lakehouse, Lambda, Kappa, Delta, Data Lake, Data Mesh, Data Fabric, Data Warehouses (e.g. Data Vault)
  • Application Architecture: Microservices, NoSql, Kubernetes, Cloud-native
  • Experience: Many years of experience with all kinds of technology in the evolution of data platforms (Data Warehouse -> Hadoop -> Big Data -> Cloud -> Data Mesh)
  • Certification: Architect certification (e.g. Siemens Certified Software Architect or iSAQB CPSA)
Required Soft-skills & Other Capabilities:
  • Excellent communication skills, in order to explain your work to people who don't understand the mechanics behind data analysis
  • Great attention to detail and the ability to solve complex business problems
  • Drive and the resilience to try new ideas, if the first ones don't work
  • Good planning and organizational skills
  • Collaborative approach to sharing ideas and finding solutions
  • Ability to work independently and also in a global team environment.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA,
Role Category: DBA / Data warehousing
Role: Database Architect / Designer
Employement Type: Full time

Contact Details:

Company: Siemens
Location(s): Bengaluru

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Keyskills:   Azure Pipelines IntelliJ HiveQL Git Github Copilot CI/CD Spark TSQL Pycharm Azure Devops Python

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Siemens

Siemens Limited Siemens Information Systems Ltd. (SISL) was incorporated in 1992. It has grown on to become a leading system integrator and total solution provider to a host of Global Clientele and its business has grown over 100% in the last three years through consistently delivering higher va...