Sr Data Engineer – Banking Domain

Job Title: Sr Data Engineer – Banking Domain

Location: Chennai (Onsite).

Experience: 5-8 Yrs.

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

Job Reference ID: BT/F55/IND.

AWS Certified Big Data / Cloudera Certified Professional is a plus.. 

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 end-to-end 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 cross-functional 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 cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Strong problem-solving skills and the ability to troubleshoot complex issues in a fast-paced environment.

Qualifications:

• Bachelor’s degree in computer science, Information Systems, or related field. Master's 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 problem-solving, 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: hr@bigtappanalytics.com

Contact:    hr@bigtappanalytics.com