Applications Development Senior Programmer Analyst - Assistant Vice President

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* Develop and maintain scalable ETL/ELT pipelines using
** PySpark, Spark SQL, and Delta Lake on Databricks**.
* Support implementation and management of data platforms across
** AWS, Azure, or GCP**.
* Work with big data technologies such as
** Databricks, Snowflake, and Apache Iceberg
** to process large datasets.
* Optimize Spark workloads through performance tuning, partitioning strategies, and cost-efficient processing.
* Contribute to
** Lakehouse architecture implementation**, ensuring data quality, consistency, and reliability.
* Assist in implementing
** data federation solutions using Starburst/Trino
** across multiple data sources.
* Support
** data governance initiatives**, including data quality checks, lineage tracking, metadata management, and adherence to enterprise standards.
* Ensure compliance with
** data security and governance policies**, including access controls (RBAC) and auditability.
* Perform troubleshooting and performance optimization for data pipelines and queries.
* Support data modeling for analytics, reporting, and downstream consumption.
* Collaborate with data scientists and ML teams to enable pipelines for
** AI/ML and RAG-based use cases**.
* Participate in Agile processes, including sprint planning, stand-ups, and retrospectives.
* Work with stakeholders to gather requirements and deliver data solutions aligned with business needs.
* 4–7 years of experience in
** Data Engineering or related roles**.
* Strong hands-on experience with
** Python, PySpark, and Spark SQL**.
* Experience with
** Databricks (Delta Lake, performance tuning)**.
* Working knowledge of
** Ab Initio (GDE, Co>Operating System, Conduct>It)**.
* Experience with
** Snowflake
* * for data warehousing and analytics.
* Familiarity with
** Starburst/Trino
** and data federation concepts.
* Exposure to
** Apache Iceberg or similar open table formats**.
* Hands-on experience with at least one cloud platform (
** AWS, Azure, or GCP**) and related data services (e.g., Glue, ADF, Dataflow, Redshift, Synapse, Big Query).
* Understanding of
** data governance frameworks**, including data quality, lineage, cataloging, and security principles.
* Experience supporting
** data pipelines for analytics and machine learning workloads**.
* Familiarity with
** Agile/Scrum methodologies**.
* Strong problem-solving, collaboration, and communication skills.
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