Applications Development Sr Programmer Analyst – C12

Overview

Develop high quality data products to support the Bank's regulatory requirements and data driven decision making, serving as an example to other team members and working closely with customers on an agile team.

What you'll do

• Develop and support scalable, extensible, and highly available data solutions
• Deliver on critical business priorities while ensuring alignment with the wider architectural vision
• Identify and help address potential risks in the data supply chain
• Follow and contribute to technical standards
• Design and develop analytical data models
• Remove or escalate roadblocks

What you'll need

• First Class Degree in Engineering/Technology (4-year graduate course)
• 9 to 11 years' experience implementing data-intensive solutions using agile methodologies
• Experience of relational databases and using SQL for data querying, transformation and manipulation
• Experience of modelling data for analytical consumers
• Ability to automate and streamline the build, test and deployment of data pipelines
• Experience in cloud native technologies and patterns
• A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
• Excellent communication and problem-solving skills
• An inclination to mentor; an ability to lead and deliver medium sized components independently
• Hands on experience of building data pipelines (ETL)
• Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
• Experience of 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and processing
• Expertise around Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) database design
• Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures
• Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala
• Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management (DevOps)
• A strong grasp of principles and practice including data quality, security, privacy and compliance (Data Governance)

Nice to have

• Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc., with demonstrable understanding of underlying architectures and trade-offs (Cloud)
• Exposure to data validation, cleansing, enrichment and data controls (Data Quality & Controls)
• Fair understanding of containerization platforms like Docker, Kubernetes (Containerization)
• Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta (File Formats)
• Experience of using a Job scheduler e.g., Autosys
• Exposure to Business Intelligence tools e.g., Tableau, Power BI
• Certification on any one or more of the above topics

Details

• Employment type: Full time
• Location: Pune, Maharashtra, India