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)
Responsibilities
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)
Qualifications
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)
About Us
Skills Required
- 8+ years of hands-on data engineering or analytics engineering experience
- Advanced SQL development, query optimization, data modeling, and database design
- Strong experience developing and maintaining dbt projects, including models, snapshots, tests, macros, and documentation
- Hands-on experience with AWS data services, including S3, Glue, Lambda, Redshift, Athena, IAM, and CloudWatch
- Strong Python development experience for data engineering and automation
- Experience with Pandas, NumPy, API integrations, and scalable data processing frameworks
- Experience with ETL/ELT frameworks and data warehousing concepts
- Experience with CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps
- Knowledge of dimensional modeling and large-scale relational or analytical databases
- Strong verbal and written communication, stakeholder management, problem-solving, collaboration, and mentoring skills
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
- AWS Associate- or Professional-level certification
- Experience with EventBridge, Step Functions, Airflow, or other workflow orchestration tools
- Experience with modern cloud data platforms and analytics ecosystems
- Experience with Snowflake, Databricks, Power BI, Tableau, data governance, data quality frameworks, Terraform, or CloudFormation
- Familiarity with Agile/Scrum methodologies
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
