Data Engineer
Pune · Staff/Principal
Applicants who checked fit first are 3.1× more likely to hear back
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
Always free · no credit card · 1 tap with Google
What we know about this role
LOW
Our tracked job listings for fa-ewjt-saasfaprod1-cx2 show limited recent activity.
First 72 hours
Window passed - posted 22d agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
Skills required
27 listedYou almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
Job Title: Senior Data Engineer / Analytics Engineer
Experience
8+ Years
Location
Flexible / Hybrid / Remote
Job Summary
We are seeking an experienced Senior Data Engineer / Analytics Engineer with 8+ years of hands-on experience in designing, building, and optimizing scalable data platforms and analytics solutions. The ideal candidate should possess strong expertise in SQL, dbt, AWS, and Python, along with excellent communication and stakeholder management skills. The role involves working closely with business teams, data analysts, architects, and engineering teams to deliver reliable and scalable data solutions.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Build and manage data transformation frameworks using dbt.
- Develop high-performance data models and optimize complex SQL queries.
- Implement data ingestion and integration processes from multiple data sources.
- Leverage AWS services to build cloud-native data solutions.
- Ensure data quality, governance, security, and compliance across data platforms.
- Collaborate with business stakeholders to understand requirements and convert them into technical solutions.
- Create reusable data models, documentation, and best practices.
- Monitor and troubleshoot production data pipelines to ensure reliability and performance.
- Mentor junior team members and participate in code reviews and architectural discussions.
- Support BI and reporting initiatives by providing curated and trusted datasets.
Required Skills
SQL
- Advanced SQL development and performance tuning.
- Expertise in data modeling, query optimization, and database design.
- Experience working with large-scale relational and analytical databases.
dbt
- Strong experience in developing and maintaining dbt projects.
- Creating incremental models, snapshots, tests, macros, and documentation.
- Understanding of CI/CD integration and deployment practices for dbt.
AWS
Hands-on experience with:
- Amazon S3
- AWS Glue
- AWS Lambda
- Amazon Redshift
- AWS Athena
- IAM and Security Best Practices
- CloudWatch Monitoring
- EventBridge / Step Functions (preferred)
Python
- Strong development experience using Python for data engineering and automation.
- Expertise with Pandas, NumPy, and API integrations.
- Experience building scalable data processing frameworks.
Additional Technical Skills
- Experience with ETL/ELT frameworks.
- Knowledge of data warehousing concepts and dimensional modeling.
- Exposure to CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.
- Experience with Airflow or other workflow orchestration tools is preferred.
- Familiarity with Agile/Scrum methodologies.
Soft Skills
- Strong verbal and written communication skills.
- Ability to interact confidently with business stakeholders and leadership teams.
- Excellent problem-solving and analytical thinking capabilities.
- Experience leading technical discussions and solution design workshops.
- Strong collaboration and mentoring skills.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
- AWS Certification (Associate or Professional level) preferred.
- Experience in modern cloud data platforms and analytics ecosystems.
Nice to Have
- Snowflake
- Databricks
- Power BI or Tableau
- Data Governance and Data Quality frameworks
- Infrastructure as Code (Terraform/CloudFormation)
Job Title: Senior Data Engineer / Analytics Engineer
Experience
8+ Years
Location
Flexible / Hybrid / Remote
Job Summary
We are seeking an experienced Senior Data Engineer / Analytics Engineer with 8+ years of hands-on experience in designing, building, and optimizing scalable data platforms and analytics solutions. The ideal candidate should possess strong expertise in SQL, dbt, AWS, and Python, along with excellent communication and stakeholder management skills. The role involves working closely with business teams, data analysts, architects, and engineering teams to deliver reliable and scalable data solutions.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Build and manage data transformation frameworks using dbt.
- Develop high-performance data models and optimize complex SQL queries.
- Implement data ingestion and integration processes from multiple data sources.
- Leverage AWS services to build cloud-native data solutions.
- Ensure data quality, governance, security, and compliance across data platforms.
- Collaborate with business stakeholders to understand requirements and convert them into technical solutions.
- Create reusable data models, documentation, and best practices.
- Monitor and troubleshoot production data pipelines to ensure reliability and performance.
- Mentor junior team members and participate in code reviews and architectural discussions.
- Support BI and reporting initiatives by providing curated and trusted datasets.
Required Skills
SQL
- Advanced SQL development and performance tuning.
- Expertise in data modeling, query optimization, and database design.
- Experience working with large-scale relational and analytical databases.
dbt
- Strong experience in developing and maintaining dbt projects.
- Creating incremental models, snapshots, tests, macros, and documentation.
- Understanding of CI/CD integration and deployment practices for dbt.
AWS
Hands-on experience with:
- Amazon S3
- AWS Glue
- AWS Lambda
- Amazon Redshift
- AWS Athena
- IAM and Security Best Practices
- CloudWatch Monitoring
- EventBridge / Step Functions (preferred)
Python
- Strong development experience using Python for data engineering and automation.
- Expertise with Pandas, NumPy, and API integrations.
- Experience building scalable data processing frameworks.
Additional Technical Skills
- Experience with ETL/ELT frameworks.
- Knowledge of data warehousing concepts and dimensional modeling.
- Exposure to CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.
- Experience with Airflow or other workflow orchestration tools is preferred.
- Familiarity with Agile/Scrum methodologies.
Soft Skills
- Strong verbal and written communication skills.
- Ability to interact confidently with business stakeholders and leadership teams.
- Excellent problem-solving and analytical thinking capabilities.
- Experience leading technical discussions and solution design workshops.
- Strong collaboration and mentoring skills.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
- AWS Certification (Associate or Professional level) preferred.
- Experience in modern cloud data platforms and analytics ecosystems.
Nice to Have
- Snowflake
- Databricks
- Power BI or Tableau
- Data Governance and Data Quality frameworks
- Infrastructure as Code (Terraform/CloudFormation)
Job Title: Senior Data Engineer / Analytics Engineer
Experience
8+ Years
Location
Flexible / Hybrid / Remote
Job Summary
We are seeking an experienced Senior Data Engineer / Analytics Engineer with 8+ years of hands-on experience in designing, building, and optimizing scalable data platforms and analytics solutions. The ideal candidate should possess strong expertise in SQL, dbt, AWS, and Python, along with excellent communication and stakeholder management skills. The role involves working closely with business teams, data analysts, architects, and engineering teams to deliver reliable and scalable data solutions.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Build and manage data transformation frameworks using dbt.
- Develop high-performance data models and optimize complex SQL queries.
- Implement data ingestion and integration processes from multiple data sources.
- Leverage AWS services to build cloud-native data solutions.
- Ensure data quality, governance, security, and compliance across data platforms.
- Collaborate with business stakeholders to understand requirements and convert them into technical solutions.
- Create reusable data models, documentation, and best practices.
- Monitor and troubleshoot production data pipelines to ensure reliability and performance.
- Mentor junior team members and participate in code reviews and architectural discussions.
- Support BI and reporting initiatives by providing curated and trusted datasets.
Required Skills
SQL
- Advanced SQL development and performance tuning.
- Expertise in data modeling, query optimization, and database design.
- Experience working with large-scale relational and analytical databases.
dbt
- Strong experience in developing and maintaining dbt projects.
- Creating incremental models, snapshots, tests, macros, and documentation.
- Understanding of CI/CD integration and deployment practices for dbt.
AWS
Hands-on experience with:
- Amazon S3
- AWS Glue
- AWS Lambda
- Amazon Redshift
- AWS Athena
- IAM and Security Best Practices
- CloudWatch Monitoring
- EventBridge / Step Functions (preferred)
Python
- Strong development experience using Python for data engineering and automation.
- Expertise with Pandas, NumPy, and API integrations.
- Experience building scalable data processing frameworks.
Additional Technical Skills
- Experience with ETL/ELT frameworks.
- Knowledge of data warehousing concepts and dimensional modeling.
- Exposure to CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.
- Experience with Airflow or other workflow orchestration tools is preferred.
- Familiarity with Agile/Scrum methodologies.
Soft Skills
- Strong verbal and written communication skills.
- Ability to interact confidently with business stakeholders and leadership teams.
- Excellent problem-solving and analytical thinking capabilities.
- Experience leading technical discussions and solution design workshops.
- Strong collaboration and mentoring skills.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
- AWS Certification (Associate or Professional level) preferred.
- Experience in modern cloud data platforms and analytics ecosystems.
Nice to Have
- Snowflake
- Databricks
- Power BI or Tableau
- Data Governance and Data Quality frameworks
- Infrastructure as Code (Terraform/CloudFormation)
Tools to land this role
PremiumYour match score, skill map and tracker stay free.
Ground Reality
PremiumSpot the dealbreakers in this 1299-word post before you apply
Skip jobs with hidden dealbreakers. See what they actually need, what's easy to miss, and how they describe the team.
Ground Reality on every job, plus Insider Path, practice interviews and resume tailoring.
Insider Path
PremiumFind someone who can refer you here
We help you find people there who worked or studied where you did, and draft your first message and follow-up.
Free · no signup
Get tomorrow's jobs before you have to search
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Someone shared one job with you. ASAI keeps finding the rest.
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.
More Data Engineer roles in Pune
See all
Keep browsing