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Data Engineer_AI
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Job Description
Develop and maintain ETL/ELT pipelines using Databricks.
Write efficientPyspark& Python Scripts for large-scale data processing.
Implement data models,transformationsand CI/CD pipelines for automation.
Develop reusable data engineering frameworks,libraries and templates for ingestion,transformation,validationand publishing.
Ensure Data Quality,Reliability, and Performance across pipelines and shared frameworks.
Design, develop,testand deploy Power BI scripts and generate visually appearing and insightful reports.
Integrate Power BI reports into Applications toprovideenhanced business capabilities.
Build data models and develop dashboards using Power BI desktop.
Work with Reliability Engineers to design and develop Power BI data Visualizations.
Proficient in using DAX expressions and Power Queriesfor developing andoptimizingPower BI dashboards and reports.
Knowledge of Azure Cloud Data Engineering Tools.
Analysis of Validation Test Results.
Development of Interfaces forMeasurement and Simulation.
Development and MaintenanceofTest Automationsystemrelated Tools.
Support Downstream consumers such as analytics,reporting,testingand Reliability teams.
Desired Skills
Good knowledge of data engineering concepts, ETL/ELT pipelines, and data lifecycle management.
Excellent understanding of datamodeling, data transformation, and dashboarding concepts for analytics and reporting.
Proficiencyin programming languages includingPython andPySpark, with experience in large-scale data processing.
Strong knowledge of data visualization and reporting using Microsoft Power BI including DAX expressions and Power Query.
Familiarity with cloud-based data engineering tools, preferably Microsoft Azure services.
Basic knowledge of electronics and industrial/validation systems is an added advantage.
Education& Experience
Bachelor's orMaster'sdegree in Electronics or Electrical Engineeringor Computer Science Engineeringwith 2 to 5 years of experience.
Hands-on experience in building andmaintainingdata pipeline solutions using Databricks.
Exposure to data engineering concepts including ETL/ELT workflows, data processing, and automation.
Soft Skills
Team player with a proactive mindset
Good communicationskills
Willing to work in an international team with diverse cultures
Openness for technical discussions,assessmentsand reviews
Btech/Mtech
3-6 Years
The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,600 associates worldwide (as of December 31, 2021). The company generated sales of 78.7 billion euros in 2021. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology.
As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is "Invented for life."
Job ID: 151707671
Skills:
Apache Airflow, Postgis, PostgreSQL, Apache Spark, Kafka, Python, Sql, Aws S3, DuckDB, TimescaleDB
Skills:
Unix, S3, RDS, PostgreSQL, Scala, Json, JIRA, Sql, Jenkins, Git, REST, Ec2, Confluence, Postgis, Docker, Linux, Gitlab, Xml, Selenium, Azure, Python, AWS, Athena
Skills:
.Net Core, Web Api, Kafka, Mapreduce, Nosql, Entity Framework, Python, Hadoop, Sql, Data Warehousing Design, Hive, Cloud, Powerbi, Spark, MongoDB, Azure, Airflow, Azure Database performance tuning, MLflow, Zilliz, LLM Pipelines, Kubeflow, Data Quality testing automation, RAG Architectures, SageMaker Pipelines, Micro Services Architecture, ASP.NET Core, Milvus
Skills:
Agile, JIRA, Python, Sql, AWS, Data Pipelines, data administration
Skills:
MLops, Gcp, Pyspark, Azure, Python, Sql, AWS, CI CD
