ROLE- Lead Data Engineer
LOCATION- Mumbai / Pune
Experience- 8 yrs
Job Summary:
We are seeking a technically strong and delivery-focused Lead Engineer to support and enhance enterprise-grade data and application products under the Durables model. The ideal candidate will act as the primary technical interface for the client ensuring high system availability performance and continuous improvement. This role requires a hands-on technologist with strong team management experience cloud (AWS) expertise and excellent communication skills to handle client interactions and drive technical decisions.
Key Responsibilities:
Support & Enhancement Leadership
- Act as the primary technical lead for support and enhancement of assigned products in the Durable portfolio.
- Ensure incident resolution problem management and enhancement delivery within agreed SLAs.
- Perform root cause analysis (RCA) and provide technical solutions to recurring issues.
- Should design data engineering solutions end to end. Ability to come up with scalable and modular solutions.
- Experience working in Agile implementations.
Technical Ownership
- Provide technical direction and architectural guidance for improvements optimizations and issue resolutions.
- Drive best practices in code performance tuning ETL processing and cloud-native data management.
- Lead the modernization of legacy data pipelines and applications by leveraging AWS services (Glue Lambda Redshift S3 EMR Athena etc.).
- Leverage PySpark SQL Python and other tools to manage big data processing pipelines efficiently.
Client Engagement
- Maintain high visibility with client stakeholders act as a trusted technical advisor.
- Proactively identify and suggest improvements or innovation areas to improve business outcomes.
- Participate in daily stand-ups retrospectives and client presentations; communicate technical concepts clearly.
Team & Delivery Management
- Lead a cross-functional team of engineers ensuring effective task allocation mentorship and upskilling.
- Monitor team performance support capacity planning and ensure timely and high-quality deliveries.
- Ensure adherence to governance documentation change management practices and High Availability.
Process & Quality Assurance
- Implement and ensure compliance with engineering best practices including CI/CD version control and automated testing.
- Define support procedures documentation standards and ensure knowledge transition and retention within the team.
- Identify risk areas dependencies and propose mitigation strategies.
Required Skills & Qualifications:
- 8 years of experience in Data Engineering / Application Support and Development.
- 4 Strong hands-on expertise in AWS ecosystem (Glue Lambda Redshift S3 Athena EMR CloudWatch).
- Proficiency in PySpark SQL Python and handling big data pipelines.
- Strong application debugging skills across batch and near real-time systems.
- Good knowledge of incident lifecycle management RCA and performance optimization.
- Proven experience leading engineering teams (3 years) preferably in support/enhancement environments.
- Excellent communication skills with proven client-facing capabilities.
- Strong documentation and process adherence mindset.
- Experience with tools like JIRA Confluence Git Jenkins or any CI/CD pipeline.
Good to Have:
- Experience in on-prem to AWS migration projects.
- Familiarity with legacy tech and their interaction with modern cloud stacks.
- Good knowledge of designing Hive tables with partitioning for performance.
Share profiles to / - Anushya Natarajan
ROLE- Lead Data EngineerLOCATION- Mumbai / PuneExperience- 8 yrsJob Summary:We are seeking a technically strong and delivery-focused Lead Engineer to support and enhance enterprise-grade data and application products under the Durables model. The ideal candidate will act as the primary technical int...
ROLE- Lead Data Engineer
LOCATION- Mumbai / Pune
Experience- 8 yrs
Job Summary:
We are seeking a technically strong and delivery-focused Lead Engineer to support and enhance enterprise-grade data and application products under the Durables model. The ideal candidate will act as the primary technical interface for the client ensuring high system availability performance and continuous improvement. This role requires a hands-on technologist with strong team management experience cloud (AWS) expertise and excellent communication skills to handle client interactions and drive technical decisions.
Key Responsibilities:
Support & Enhancement Leadership
- Act as the primary technical lead for support and enhancement of assigned products in the Durable portfolio.
- Ensure incident resolution problem management and enhancement delivery within agreed SLAs.
- Perform root cause analysis (RCA) and provide technical solutions to recurring issues.
- Should design data engineering solutions end to end. Ability to come up with scalable and modular solutions.
- Experience working in Agile implementations.
Technical Ownership
- Provide technical direction and architectural guidance for improvements optimizations and issue resolutions.
- Drive best practices in code performance tuning ETL processing and cloud-native data management.
- Lead the modernization of legacy data pipelines and applications by leveraging AWS services (Glue Lambda Redshift S3 EMR Athena etc.).
- Leverage PySpark SQL Python and other tools to manage big data processing pipelines efficiently.
Client Engagement
- Maintain high visibility with client stakeholders act as a trusted technical advisor.
- Proactively identify and suggest improvements or innovation areas to improve business outcomes.
- Participate in daily stand-ups retrospectives and client presentations; communicate technical concepts clearly.
Team & Delivery Management
- Lead a cross-functional team of engineers ensuring effective task allocation mentorship and upskilling.
- Monitor team performance support capacity planning and ensure timely and high-quality deliveries.
- Ensure adherence to governance documentation change management practices and High Availability.
Process & Quality Assurance
- Implement and ensure compliance with engineering best practices including CI/CD version control and automated testing.
- Define support procedures documentation standards and ensure knowledge transition and retention within the team.
- Identify risk areas dependencies and propose mitigation strategies.
Required Skills & Qualifications:
- 8 years of experience in Data Engineering / Application Support and Development.
- 4 Strong hands-on expertise in AWS ecosystem (Glue Lambda Redshift S3 Athena EMR CloudWatch).
- Proficiency in PySpark SQL Python and handling big data pipelines.
- Strong application debugging skills across batch and near real-time systems.
- Good knowledge of incident lifecycle management RCA and performance optimization.
- Proven experience leading engineering teams (3 years) preferably in support/enhancement environments.
- Excellent communication skills with proven client-facing capabilities.
- Strong documentation and process adherence mindset.
- Experience with tools like JIRA Confluence Git Jenkins or any CI/CD pipeline.
Good to Have:
- Experience in on-prem to AWS migration projects.
- Familiarity with legacy tech and their interaction with modern cloud stacks.
- Good knowledge of designing Hive tables with partitioning for performance.
Share profiles to / - Anushya Natarajan
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