Data Engineer-python,pyspark,sql ,spark Architecture,azure Databricks @ Siemens

Job Description

As a  Data Engineer , you are required toDesign, build, and maintain data pipelines that efficiently process and transport data from various sources to storage systems or processing environments while ensuring data integrity, consistency, and accuracy across the entire data pipeline. Integrate data from different systems, often involving data cleaning, transformation (ETL), and validation. Design the structure of databases and data storage systems, including the design of schemas, tables, and relationships between datasets to enable efficient querying. Work closely with data scientists, analysts, and other stakeholders to understand their data needs and ensure that the data is structured in a way that makes it accessible and usable. Stay up-to-date with the latest trends and technologies in the data engineering space, such as new data storage solutions, processing frameworks, and cloud technologies. Evaluate and implement new tools to improve data engineering processes.  Qualification Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable. Experience level At least3- 5years hands-on experience in Data Engineering Desired Knowledge & Experience 

 Spark:  Spark 3.x, RDD/DataFrames/SQL, Batch/Structured Streaming

Knowing Spark internalsCatalyst/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

 Required Soft skills & Other Capabilities Great attention to detail and good analytical abilities. 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: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Siemens
Location(s): Bengaluru

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   hive spark hadoop python data engineering continuous integration scala ci/cd t-sql sql stored procedures java git big data mongodb hbase data lake ssas pytest oozie sql server nosql continuous delivery mapreduce cassandra pycharm kafka yarn