Data Engineer_Gurgaon_5yrs_15 October Joiners Only_Hybrid

RiDiK; Gurugram District; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

RiDiK is seeking a Data Engineer with 4-6 years of experience to design and maintain scalable data pipelines and backend services using Python. The role emphasizes PySpark, Databricks, Delta Lake, and Azure services for data ingestion, transformation, and processing on a modern data platform.

Responsibilities include building ETL/ELT workflows, optimizing SQL for large datasets, and collaborating with cross-functional teams.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 4-6 years of relevant industry experience in Data Engineering, Data Platform Engineering, or Backend Python Development.
• Strong programming experience in Python.

Responsibilities

• Design, develop, and maintain scalable data pipelines and backend services in Python.
• Build and optimize ETL/ELT workflows using PySpark, Spark SQL, and Azure Data Factory.
• Develop and manage data ingestion, transformation, and processing on Databricks.
• Implement Delta Lake architectures to support reliable, high-performance data platforms.
• Write efficient SQL queries for large-scale datasets.
• Collaborate with stakeholders and cross-functional teams to deliver robust solutions.
• Deploy, monitor, and maintain data applications on Azure cloud services.
• Implement CI/CD pipelines and deployment automation with Azure DevOps.
• Troubleshoot, tune, and optimize data workloads.
• Adhere to coding standards, security guidelines, and best engineering practices.
• Participate in solution design discussions, code reviews, and technical documentation.

Skills

Python programming

PySpark

Spark SQL

Databricks

Delta Lake

Azure Data Factory

Education

Bachelors or Masters in CS/IT/Engineering

Tools

Databricks

Delta Lake

Azure DevOps

Azure Data Factory

Job description

Experience:4-6years

Loction: Gurgaon

Client: Blackrock

3 days wfo

Responsibilities

• Design, develop, and maintain scalable data pipelines and backend services using Python.
• Build and optimize ETLELT workflows using PySpark, Spark SQL, and Azure Data Factory ADF.
• Develop and manage data ingestion, transformation, and processing solutions on Databricks.
• Implement and maintain Delta Lake architectures to support reliable and high-performance data platforms.
• Write efficient and optimized SQL queries for large-scale datasets.
• Collaborate with business stakeholders, architects, data analysts, and cross-functional teams to understand requirements and deliver robust solutions.
• Work with Azure cloud services to deploy, monitor, and maintain data applications.
• Implement CICD pipelines and deployment automation using Azure DevOps.
• Perform troubleshooting, performance tuning, and optimization of data workloads.
• Ensure adherence to coding standards, security guidelines, and best engineering practices.
• Participate in solution design discussions, code reviews, and technical documentation.

Required Skills

• Must-Have Technical Skills Strong programming experience in Python
• Hands-on experience with PySpark and Spark SQL
• Strong experience working with Databricks
• Good understanding of Delta Lake Advanced SQL development and query optimization skills
• Experience with Microsoft Azure services Hands-on experience with Azure Data Factory ADF
• Experience in CICD implementation using Azure
• DevOps Strong understanding of data modeling, ETL ELT concepts, and distributed data processing
• Experience working with large-scale data platforms and cloud-based solutions

Preferred Skills

• Experience with data warehousing and lakehouse architectures
• Understanding of data governance and data quality frameworks
• Experience with REST APIs and backend service development
• Exposure to AgileScrum methodologies
• Knowledge of monitoring and observability tools

Soft Skills

• Excellent verbal and written communication skills
• Ability to interact confidently with business stakeholders and technical teams
• Strong analytical and problem-solving abilities Self-driven with a proactive approach to ownership and delivery
• Strong collaboration and teamwork mindset
• Ability to clearly articulate technical concepts to both technical and non-technical audiences

Qualifications

• Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 4-6 years of relevant industry experience in Data Engineering, Data Platform Engineering, or Backend Python Development.