Description review
Senior Data Engineer
Fox Point Recruitment LLC · India · back to the listing
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70/100
solid
Title ↔ description
97/100
strong
Reads as
Data Engineer
100% confident
How others title the same work
Large employers
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Startups
- Business Intelligence Engineer GoSats
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What the listing never says
- 40 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
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Job Title: Senior Data Engineer
Locations: Multiple, Bangalore, Chennai, Hyderabad, India
Work Arrangement: Remote Work from Home
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
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
Required Skills & Experience
Must-Have Technical Skills
•
Azure Data Factory (ADF)“ Proven experience designing and implementing data integration solutions
•
Databricks“ Hands-on experience with Databricks platform and workspace management
•
Apache Spark “ Strong expertise in distributed data processing using Spark framework
•
Lakeflow & Declarative Pipelines – Experience building declarative, maintainable data pipelines
•
SQL – Advanced proficiency in writing optimized SQL queries for complex data transformations
•
PySpark “ 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
• Related Field or Professional experience
Why Join Us?
• Work with cutting-edge data engineering technologies
• Collaborate with a talented and innovative team
• Opportunity to build impactful data solutions at scale
• Professional growth and continuous learning opportunities
• Competitive compensation and benefits package
How to Apply
If you meet the above requirements and are excited about this opportunity, please submit your resume, a cover letter, and links to your portfolio or GitHub profile (if available).
Originally posted on Himalayas
Locations: Multiple, Bangalore, Chennai, Hyderabad, India
Work Arrangement: Remote Work from Home
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
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
Required Skills & Experience
Must-Have Technical Skills
•
Azure Data Factory (ADF)“ Proven experience designing and implementing data integration solutions
•
Databricks“ Hands-on experience with Databricks platform and workspace management
•
Apache Spark “ Strong expertise in distributed data processing using Spark framework
•
Lakeflow & Declarative Pipelines – Experience building declarative, maintainable data pipelines
•
SQL – Advanced proficiency in writing optimized SQL queries for complex data transformations
•
PySpark “ 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
• Related Field or Professional experience
Why Join Us?
• Work with cutting-edge data engineering technologies
• Collaborate with a talented and innovative team
• Opportunity to build impactful data solutions at scale
• Professional growth and continuous learning opportunities
• Competitive compensation and benefits package
How to Apply
If you meet the above requirements and are excited about this opportunity, please submit your resume, a cover letter, and links to your portfolio or GitHub profile (if available).
Originally posted on Himalayas