
Hadoop,Spark Data Engineer/Consultant Specialist
- Pune, Maharashtra Bangalore, Karnataka
- Permanent
- Full-time
- The Senior Data Engineer will be responsible for designing, building, and managing the data infrastructure and data pipeline processes for the bank. This role involves leading a team of data engineers, working closely with data scientists, analysts, and IT professionals to ensure data is accessible, reliable, and secure. The ideal candidate will have a strong background in data engineering, excellent leadership skills, and a thorough understanding of the banking industry's data requirements.
- Leadership and Team Management . Lead, mentor, and develop a team of data engineers.
- Establish best practices for data engineering and ensure team adherence.
- Coordinate with other IT teams, business units, and stakeholders.
- Data Pipelines Integration and Management:
- Design and implement scalable data architectures to support the bank's data needs.
- Develop and maintain ETL (Extract, Transform, Load) processes.
- Ensure the data infrastructure is reliable, scalable, and secure.
- Oversee the integration of diverse data sources into a cohesive data platform.
- Ensure data quality, data governance, and compliance with regulatory requirements.
- Develop and enforce data security policies and procedures.
- Monitor and optimize data pipeline performance.
- Troubleshoot and resolve data-related issues promptly.
- Implement monitoring and alerting systems for data processes
- 8+ years of experience in data engineering or related field
- Strong experience with database technologies (SQL, NoSQL), data warehousing solutions, and big data technologies (Hadoop, Spark)
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
- Deep understanding of ETL processes and data pipeline orchestration tools (Airflow, Apache NiFi).
- Knowledge of data modeling, data warehousing concepts, and data integration techniques.
- Strong problem-solving skills and ability to work under pressure.
- Excellent communication and interpersonal skills.
- Experience in the banking or financial services industry.
- Familiarity with regulatory requirements related to data security and privacy in the banking sector.
- Certifications in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc.).
- Experience with machine learning and data science frameworks