Application Development Intermediate Programmer Analyst at Citi

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Big Data, Data Engineering, Data Quality, Data Governance, SQL, NoSQL, Python, Java, Shell Scripting, AI & ML, Cloud Solutions, Data Security, Data Lineage, Data Standardization, Streaming Processing, Batch Processing

Industry

Financial Services

Description

- Lead the design, implementation, and optimization of scalable and standardized Big Data architectures. - Drive data standardization efforts in alignment with regulatory requirements, consent orders, and enterprise data policies. - Ensure data lineage, quality, and governance compliance across all critical data elements (CDEs). - Collaborate with Risk, Compliance, and Regulatory teams to address consent order requirements related to data controls, reconciliation, and validation. - Implement data quality frameworks, metadata management, and lineage tracking for improved data transparency and regulatory reporting. - Optimize data ingestion, transformation, and processing pipelines using streaming and batch processing methodologies. - Develop and enforce data security and privacy controls to meet internal and external regulatory expectations. - Work closely with cross-functional teams to automate data reconciliation and anomaly detection. - Provide technical leadership to junior and mid-level engineers, fostering a culture of engineering excellence and regulatory adherence. - 3+ years of experience in data engineering, Big Data platforms, and software development. - Expertise in Big Data technologies (Spark, Hadoop, Hive, Impala, Kafka, Scala, Cloudera). - Proven experimental/working knowledge of AI & ML including Gen AI and Agentic AI - Strong SQL and NoSQL experience (Oracle, MongoDB, PostgreSQL) for data extraction, reconciliation, and transformation. - Proficiency in Python, Java, and Shell scripting for data processing and automation. - Experience implementing data lineage and data quality monitoring solutions. - Familiarity with cloud-based data solutions (AWS, GCP, or Azure). - Ability to translate complex regulatory requirements into actionable data strategies. - Experience in Capital Markets, Risk, Finance, and Regulatory Reporting is a plus. - Strong analytical and problem-solving skills with a compliance-driven mindset. - Experience working with Consent Order Remediation Programs related to data management and governance. - Expertise in Canonical Data Models and Data Mesh Architecture. - Ability to liaise with regulators and internal audit teams to demonstrate data controls and compliance adherence. - Strong technical documentation and communication skills for presenting data standardization strategies. This role offers a unique opportunity to lead enterprise-wide data initiatives, ensure regulatory compliance, and drive long-term strategic improvements in the Big Data landscape. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------

Responsibilities

Lead the design, implementation, and optimization of scalable Big Data architectures while ensuring data quality and governance compliance. Collaborate with various teams to address regulatory requirements and drive data standardization efforts.