Data Engineer Senior Developer, AVP

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.

- 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, CloudFormation) - 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.

• Development experience in designing, developing and deploying enterprise applications.

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

• 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 DevOps practices

• Bachelor's/Master's Degree in a Computer Science, Engineering or Math or equivalent experience

• 5+ 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.