Sr Data Engineer Banking Domain - BigTapp Pte Ltd

Job Title: Sr Data Engineer Banking Domain

Location: Chennai (Dubai Onsite).

Experience: 58 Yrs.

Must Skills: SQL ETL Pipelines DWH Hadoop & AWS/Azure.

Job Reference ID: BT/F55/IND.

Data Bricks Certification is required.

Job Summary:

• The Senior Data Engineer specializing in the Banking Domain is responsible for designing building and maintaining scalable data pipelines and infrastructure to support the data needs of banking operations.
• The Senior Data Engineer is responsible for leading a team of data engineers and ensuring the successful execution of ETL processes to support business intelligence and data analytics initiatives.
• The role will involve understanding core analytics competencies across the full spectrum of analytics including data integration data modelling and dashboard creation.
• 5 years of experience in working with data engineering and have proven experience with areas such as ETL tools SQL code Data modelling data warehousing and Cloud Data Platforms.

Responsibilities:

Data Pipeline Development:

• Design develop and maintain robust data pipelines to ingest transform and load data from various sources including transactional systems data warehouses and external APIs.
• Implement ETL (Extract Transform Load) processes to clean enrich and harmonize data for analysis and reporting purposes.
• Optimize data pipelines for performance scalability and reliability leveraging technologies such as Apache Spark Kafka and Airflow.

Data Modeling and Architecture:

• Design and implement data models and schemas that reflect the business requirements and support efficient data storage retrieval and analysis.
• Define data architecture standards and best practices and ensure compliance with data governance policies and regulatory requirements.
• Collaborate with data architects and solution architects to design endtoend data solutions that align with business objectives and technical constraints.

Data Quality Assurance:

• Develop and implement data quality checks validation rules and monitoring mechanisms to ensure the accuracy completeness and consistency of banking data.
• Identify and address data quality issues and anomalies working closely with data stewards business users and IT teams to resolve data discrepancies.
• Establish data quality metrics and KPIs to measure and report on data quality levels and implement continuous improvement initiatives to enhance data quality over time.

Collaboration and Leadership:

• Collaborate with crossfunctional teams including data scientists business analysts and software engineers to deliver integrated data solutions that meet business requirements.
• Mentor and coach junior data engineers providing guidance on technical best practices industry trends and professional development opportunities.
• Stay abreast of emerging technologies and tools in the data engineering field and evaluate their potential for adoption within the organization.

Requirements:

• Excellent communication skills with the ability to collaborate effectively with crossfunctional teams and communicate technical concepts to nontechnical stakeholders.
• Strong problemsolving skills and the ability to troubleshoot complex issues in a fastpaced environment.

Qualifications:

• Bachelors degree in computer science Information Systems or related field. Masters degree preferred.
• 5 years of experience in data engineering with a focus on the banking domain.
• Strong proficiency in SQL Python and ETL tools for data integration and manipulation.
• Experience with big data technologies (e.g. Hadoop Spark) and cloud platforms (e.g. AWS Azure) for scalable data processing and storage.
• Solid understanding of data modeling techniques data warehousing concepts and database management systems.
• Excellent problemsolving analytical and communication skills.
• Certification in relevant technologies (e.g. AWS Certified Big Data Specialty Cloudera Certified Professional) is a plus.

Why Join Us:

• Commensurate with experience and demonstrated competence.
• Opportunities for professional growth and development.
• Collaborative and innovative work environment.
• Exposure to the latest technologies and industry trends

Salary: Commensurate with experience and demonstrated competence Contact: confidential

Contact: confidential