The Applications Development member (data engineering senior programmer) is an intermediate level position responsible for participation in the establishment and implementation of new or revised data platform eco systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to data engineering scrum team to implement the business requirements:
Responsibilities:
Build and maintain batch or real-time data pipelines in data platform.
Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Automate data workflows such as data ingestion, aggregation, and ETL processing.
Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
Build, maintain, and deploy data products for analytics and data science teams on data platform
Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
Monitor data systems performance and implement optimization solution.
Has the ability to operate with a limited level of direct supervision.
Can exercise independence of judgement and autonomy.
Acts as SME to senior stakeholders and /or other team members.
Serve as advisor or coach to new or lower level analysts
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
6+ years of relevant experience in Data engineering role
Advanced SQL/ RDBMS skills and experience with relational databases and database design.
Strong proficiency in object-oriented languages: Python, PySpark is must
Experience working with Bigdata - Hive/Impala/S3/HDFS
Experience working with data ingestion tools such as Talend or Ab Initio.
Nice to working with data lakehouse architecture such as AWS Cloud/Airflow/Starburst/Iceberg
Strong proficiency in scripting languages like Bash, UNIX Shell scripting
Strong proficiency in data pipeline and workflow management tools
Strong project management and organizational skills.
Excellent problem-solving, communication, and organizational skills.
Proven ability to work independently and with a team.
Experience in managing and implementing successful projects
Ability to adjust priorities quickly as circumstances dictate
Consistently demonstrates clear and concise written and verbal communication
Education:
Bachelor's degree/University degree or equivalent experience
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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