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Senior Data Engineer
TARRYRISE HOME & STAFF SERVICES —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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16h
Full Stack Engineer
IT Futurista —Remote
- ₹3,78,444.32 - ₹10,29,381.08 a year
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PySPark /Spark & Dataproc Senior Engineer
HoonarTek —Remote
- Full-time
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Staff Engineer (Adobe Campaign Adobe Real-Time CDP)
Nagarro —Remote
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- Master's degree
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Senior Data Engineer
TARRYRISE HOME & STAFF SERVICES —Remote
_Proactive_ in staying current with emerging data engineering technologies and best practices. Knowledge of big data technologies and distributed computing.
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16h
Full Stack Engineer
IT Futurista —Remote
You write code that another engineer can read and extend in six months. The *voice and SMS layer* that talks to patients in real time.
₹3,78,444.32 - ₹10,29,381.08 a year
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16h

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Senior Data Engineer

TARRYRISE HOME & STAFF SERVICES
Remote

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Job details

Full-time
16 hours ago

Qualifications

BCS
CI/CD
Azure
Computer Science
Big data
DevOps
Spark
Git
SQL
AWS
Bachelor's degree
Distributed systems
Version control systems
Continuous integration
ETL
Data warehouse

Full job description

About This Role

We are seeking a talented and experienced Senior Data Engineer to join our data engineering team. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure on cloud platforms. This role requires expertise in modern data engineering tools and a strong foundation in data transformation and optimization.

Key Responsibilities

Design and develop robust, scalable data pipelines using Azure Data Factory (ADF)
Build and optimize data processing workflows using Databricks and Apache Spark
Implement declarative pipeline solutions using Lakehouse architecture and best practices
Write and optimize complex SQL queries for data transformation and analysis
Develop PySpark applications for large-scale data processing
Collaborate with data scientists, analysts, and stakeholders to understand data requirements
Ensure data quality, security, and compliance across all pipelines
Monitor, troubleshoot, and optimize data pipeline performance
Document technical solutions and maintain best practices documentation
Mentor junior team members and contribute to team knowledge sharing

Required Skills & ExperienceMust-Have Technical Skills:

Azure Data Factory (ADF) â€“ Proven experience designing and implementing data integration solutions
Databricks â€“ Hands-on experience with Databricks platform and workspace management
Apache Spark â€“ Strong expertise in distributed data processing using Spark framework
Lakeflow & Declarative Pipelines â€“ Experience building declarative, maintainable data pipelines
SQL â€“ Advanced proficiency in writing optimized SQL queries for complex data transformations
PySpark â€“ Strong programming skills in PySpark for data processing and ETL operations

Additional Desired Qualifications:

Experience with cloud platforms (Azure, AWS, or GCP)
Knowledge of data warehousing concepts and modern data architecture
Familiarity with version control systems (Git)
Understanding of CI/CD pipelines and DevOps practices
Experience with data quality frameworks and testing methodologies
Knowledge of big data technologies and distributed computing

Required Experience

5+ years of professional experience in data engineering or related roles
3+ years of hands-on experience with cloud-based data platforms
Proven track record of designing and implementing production-grade data pipelines
Strong problem-solving skills and attention to detail

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent professional experience)

What We're Looking For

We need a Senior Data Engineer who is:

Proficient in building scalable data solutions using Azure and Databricks
Skilled in SQL and PySpark for data transformation and processing
Capable of implementing declarative, maintainable pipeline architectures
Detail-oriented with a focus on data quality and performance optimization
Collaborative and able to work effectively with cross-functional teams
Proactive in staying current with emerging data engineering technologies and best practices
Communicative and able to explain complex technical concepts clearly

Work Location: Remote

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