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Pyspark jobs in Mitraon, Delhi
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- Maruti Suzuki India LtdGurugram, Haryana
- § B.E / B. Tech in Computer Science/IT/ or Masters in Computer Application(MCA).
- Minimum 3 Years work experience in Big Data/Cloud Computing/ Data Engineering/…
- View all Maruti Suzuki India Ltd jobs - Gurugram, Haryana jobs
- Salary Search: Data Engineer salaries in Gurugram, Haryana
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- Intact IndiaGurugram, Haryana
- We are seeking a highly skilled Data Engineer to design, develop, and maintain scalable, secure, and high-performance data solutions.
- View all Intact India jobs - Gurugram, Haryana jobs
- Salary Search: Data Engineer salaries in Gurugram, Haryana
- PayUGurugram, Haryana
- We design, build, and operate scalable data platforms that support critical business decisions across multiple domains.
- Binlog/wal/gtid log replication.
- View all PayU jobs - Gurugram, Haryana jobs - Data Engineer jobs in Gurugram, Haryana
- Salary Search: Associate Data Engineer salaries in Gurugram, Haryana
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- OptumGurugram, Haryana
- Design, build and maintain scalable batch and streaming data pipelines on Azure and Databricks using the Medallion Architecture (Bronze, Silver, Gold) on Delta…
- SaartheeGurugram, Haryana
- Saarthee is based out of Philadelphia, USA with office in UK and India.
- As a Data Engineer, you will be responsible for designing and developing robust data…
- View all Saarthee jobs - Gurugram, Haryana jobs
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- PayPay IndiaGurugram, Haryana
- PayPay India is looking for a Data Engineer to work on our payment system to deliver the best payment experience for our customers.
- OptumGurugram, Haryana
- Design, develop, test, and support scalable data pipelines and ETL/ELT solutions using Azure Databricks, PySpark, SQL, and cloud-native technologies.
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- OptumGurugram, Haryana
- Design, develop, test, and support scalable data pipelines and ETL/ELT solutions using Azure Databricks, PySpark, SQL, and cloud-native technologies.
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- OpenBIGurugram, Haryana
- The ideal candidate will be responsible for designing, developing, and deploying end-to-end data pipelines using Microsoft Fabric (OneLake, Dataflows Gen2,…
- Ananta ServicesHybrid work in Gurugram, Haryana
- Design, develop, test, and maintain ETL/ELT pipelines using Snowflake, AWS, Python, and PySpark.
- Integrate Snowflake with AWS services, including S3, IAM,…
- HCLTechGurugram, Haryana
- Strong experience in DBT (Data Build Tool).
- Experience with Spark SQL / Trino / Presto.
- Strong understanding of Data Warehousing concepts.
- ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries,…
- SagoRemote in Gurugram, Haryana
- We are looking for a Data Engineer with 2–5 years of experience to design, build, and maintain reliable data pipelines and analytics-ready datasets.
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- AccentureGurugram, Haryana
- Project Role Description : -Resource should have 5+ years of work exp.
- Strong data warhouse knowledge + Data Analytics in Banking Domain, along with hands on…
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- EXL ServiceGurugram, Haryana
- In this role, the candidate will be responsible for designing, developing, optimizing, and maintaining scalable data pipelines and workflows that support…
- View all EXL Service jobs - Gurugram, Haryana jobs
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- Axtria, Inc.Gurugram, Haryana
- We are looking for Associates with 5+ years of experience in delivering solutions around Data Engineering, Big data analytics and data lakes, MDM, BI, and data…
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Job Post Details
Data Engineer
Job details
Pay information not provided
Full-time
Gurugram, Haryana
Full job description
Essential :
§ B.E / B. Tech in Computer Science/IT/ or Masters in Computer Application(MCA)
§ Minimum 60 % marks
Minimum 3 Years work experience in Big Data/Cloud Computing/ Data Engineering/ Analytics related projects.
Desirable:
§ Certification in Big Data/Data Science/Cloud Computing or equivalent.
Role:
Data Engineering & Quality Management : Design, implementation, and management of data platform, data pipelines to help fulfill data access and aggregation functionality for users in cloud environment.
Develop and Maintain Data Pipelines: Design, build, and manage scalable data pipelines for data extraction, transformation, and loading (ETL).
Data Integration: Integrate data from various sources, ensuring data quality and consistency.
Optimize Data Systems: Identify and implement process improvements to enhance data reliability, efficiency, and quality.
Collaborate with Teams: Work with data scientists, analysts, and other stakeholders to support their data infrastructure needs.
Monitor and Troubleshoot: Monitor data pipelines and systems, troubleshoot issues, and ensure data integrity.
Documentation: Maintain comprehensive documentation of data processes and systems.
Technical/ Functional:
Experience: 3-5 years of experience in data engineering or a related field.
Technical Skills: Proficiency in Py-Spark (Must Have), SQL, Python, and data platform like Databricks.
Storage Management: Experience in storage mechanism in AWS S3, Layers of Medallion Architecture, OTF like Delta, iceberg etc., Hand-Ons in Data schema like Star, snowflake etc.
§ Good knowledge next generation ETL/ELT tools and data consolidation frameworks that enable capabilities within the data ecosystem.
§ Ability to work independently or within a team, proactively, in a fast-paced AGILE-SCRUM environment.
Desired but not essential :
§ Experience in IoT time series data domain
§ Exposure to automotive data.
Behavioral
§ Effective team player.
§ Study industry trends (global and domestic) and apply it in work-area.
§ Co-ordinate department activities and represent department / MSIL in forums.
Good communication and presentation skills.
Search Keywords
§ B.E / B. Tech in Computer Science/IT/ or Masters in Computer Application(MCA)
§ Minimum 60 % marks
Minimum 3 Years work experience in Big Data/Cloud Computing/ Data Engineering/ Analytics related projects.
Desirable:
§ Certification in Big Data/Data Science/Cloud Computing or equivalent.
Role:
Data Engineering & Quality Management : Design, implementation, and management of data platform, data pipelines to help fulfill data access and aggregation functionality for users in cloud environment.
Develop and Maintain Data Pipelines: Design, build, and manage scalable data pipelines for data extraction, transformation, and loading (ETL).
Data Integration: Integrate data from various sources, ensuring data quality and consistency.
Optimize Data Systems: Identify and implement process improvements to enhance data reliability, efficiency, and quality.
Collaborate with Teams: Work with data scientists, analysts, and other stakeholders to support their data infrastructure needs.
Monitor and Troubleshoot: Monitor data pipelines and systems, troubleshoot issues, and ensure data integrity.
Documentation: Maintain comprehensive documentation of data processes and systems.
Technical/ Functional:
Experience: 3-5 years of experience in data engineering or a related field.
Technical Skills: Proficiency in Py-Spark (Must Have), SQL, Python, and data platform like Databricks.
Storage Management: Experience in storage mechanism in AWS S3, Layers of Medallion Architecture, OTF like Delta, iceberg etc., Hand-Ons in Data schema like Star, snowflake etc.
§ Good knowledge next generation ETL/ELT tools and data consolidation frameworks that enable capabilities within the data ecosystem.
§ Ability to work independently or within a team, proactively, in a fast-paced AGILE-SCRUM environment.
Desired but not essential :
§ Experience in IoT time series data domain
§ Exposure to automotive data.
Behavioral
§ Effective team player.
§ Study industry trends (global and domestic) and apply it in work-area.
§ Co-ordinate department activities and represent department / MSIL in forums.
Good communication and presentation skills.
Search Keywords
- Data Engineer
- Databricks
- PySpark
- Python
- SQL
- Process Automation
- Data Visualization
- Database Management
- Warehousing
- IOT
- Databricks
- AWS
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