Data Engineer Senior Developer, AVP

Seeking a highly skilled data engineer, to design, build, and optimize our data infrastructure and analytics initiatives. As a hands-on technology lead, you will contribute to the design, development, enhancement & maintenance of data frameworks, ensuring data integrity, scalability and security.

We are looking for a skilled Data Engineer for Cloud Data Lake activities. The candidate should have industry experience (preferably in Financial Services) in supporting enterprise applications and exposure to Cloud based Data engineering platforms with deep understanding of data processing frameworks and solid experience with ETL development using distributed computing frameworks as Apache Spark, Scala, Hadoop, Hive. This hands-on role will partner with senior-level development managers, architects and business leadership to develop and execute the technology product roadmap.

What you will be responsible for Collaborate with data scientists, analysts, and product teams to enable analytics and ML use cases

Ensure data quality, reliability, security, and governance across data platforms

Optimize performance and cost of data workloads in AWS and Databricks Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Cloud Formation)
Monitor, troubleshoot, and resolve data pipeline and platform issues

Document data architecture, pipelines, and operational processes

End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution.

Build data integrations, hand-offs between on-prem/cloud-based systems.

Design, build, and maintain scalable, reliable data pipelines using AWS services and Databricks Develop and optimize ETL/ELT workflows for batch and near‑real‑time data processing

Implement data solutions using Apache Spark (PySpark/Scala) on Databricks Leverage AWS services such as S3, Glue, Lambda, EMR, Redshift, Athena, and Kinesis Highly motivated, with the ability to take initiative, set priorities and perform tasks with minimal guidance

Management oversight of a global team of software development and QA engineers.

Building strong partnership with technology & business leaders and peers

Work closely with the Product Owner and others on requirements analysis, planning, project management, and execution.

What we value

These skills will help you succeed in this role Development experience in designing, developing and deploying enterprise applications.

Strong skill-set, experience in PL/SQL, Python, Scala/PySpark, PERL/scripting.

Hands on experience with Cloud platforms, AWS, Databricks.

Experience in building systems using modern, scalable, resilient, data lakes and architectures.

Experience in Data Modeling and database design with strong skills in performance tuning.

Hands on experience in setting up data pipelines for ELT jobs across multiple data sources.

Experience with Delta Lake, Unity Catalog, and Databricks Workflows Strong knowledge of Cloud Security in AWS/Azure, specifically IAM Roles & Polices, Security Groups and Encryption keys.

Experience with optimizing database performance, scalability, ensuring data security and compliance.

Experience with event based, micro-batch and batched high volume and high velocity transaction and data processing system.

Proficiency with version control(Git), CI/CD and Dev Ops practices

Exposure to data governance, lineage, and metadata management

Education &

Preferred Qualifications Bachelor’s/Master's Degree in a Computer Science, Engineering or Math or equivalent experience5+ years' experience in professional software design and development.

Strong analytical skills, with ability to collect, absorb, and analyze information quickly and independently

Proven ability to develop and work with cross functional processes and project timelines

Excellent follow-through, attention to detail and time management skills

Adapt and excel at managing multiple simultaneous tasks in a high pressure, deadline environment.

Salary Range:$90,000 - $157,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Empl…