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Data Engineer - Python, PySpark, SQL

3-5 years

₹ 6.5 - 16L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

1 vacancy

Data Engineer - Python, PySpark, SQL

Siemens

posted 9d ago

Job Role Insights

Flexible timing

Job Description

  • Design, 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 : Bachelors or Masters in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable.
 
Experience level : At least 3 - 5 years hands-on experience in Data Engineering, ETL.
 
Desired Knowledge & Experience :

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
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.

Employment Type: Full Time, Permanent

Read full job description

Prepare for Data Engineer roles with real interview advice

Top Siemens Data Engineer Interview Questions

Q1. Count Inversions Problem Statement Given an integer array ARR of size N , your task is to find the total number of inversions that exist in ... read more
Q2. Maximum Subarray Sum Problem Statement Given an array arr of length N consisting of integers, find the sum of the subarray (including empty ... read more
Q3. Remove Character from String Problem Statement Given a string str and a character 'X', develop a function to eliminate all instances of 'X' ... read more
View all 367 questions

What people at Siemens are saying

4.3
 Rating based on 4 Data Engineer reviews

Likes

Company work balance is good.

  • Salary - Good
  • +5 more
Dislikes

I am a contractual work that is the reason.

Read 4 Data Engineer reviews

Data Engineer salary at Siemens

reported by 43 employees with 1-7 years exp.
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₹6 L/yr - ₹18 L/yr
10% more than the average Data Engineer Salary in India
View more details

What Siemens employees are saying about work life

based on 4.7k employees
75%
69%
47%
94%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Siemens Benefits

Submitted by Company
Flexible Work Options and Hybrid Work Models
Employee Engagement
Health & Wellness
Career Development
Submitted by Employees
Health Insurance
Job Training
Soft Skill Training
Cafeteria
Work From Home
Free Transport +6 more
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