Kyndryl
Website:
kyndryl.com
Job details:
🚀 WE ARE HIRING! Kyndryl Walk-In Recruitment Drive in Bengaluru 🚀
Mark your calendars for our upcoming hiring event this Saturday. Come interview with our technical leaders and take the next big step in your career!
Looking for a new challenge in the BFSI data space? 🚀 We are hosting an exclusive Hiring Drive this Saturday (May 23rd) for Senior Data Engineers!
If you are a Data Engineer who loves building scalable pipelines and driving analytics success, we want to talk to you. DM your CV directly to secure an interview slot!
📅 Date: Saturday, 23rd May ⏰ Time: 9:00 AM – 12:30 PM
📍 Location: Kyndryl Office, Manyata Tech Park, Bengaluru, Karnataka
• 5 to 7+ years of experience in data engineering, data platform engineering, ETL/ELT development, or data warehouse engineering.
• Prior experience in banking or financial services data platforms is strongly preferred.
• Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, data models, and data integration frameworks.
• Experience with Dataiku workflows for data preparation, transformation, pipeline automation, lineage, data quality validation, and integration with platforms such as Snowflake, MicroStrategy, Power BI and cloud-based data ecosystems.
• Strong programming skills in Python; exposure to Scala or Java is preferred.
• Advanced SQL skills for querying, transformation, optimization, reconciliation, and analysis of large datasets.
• Hands-on experience with ETL / ELT frameworks and data integration patterns.
• Experience with data warehouses, data lakes, and lakehouse architectures.
• Knowledge and experience of MicroStrategy, RMT, Python, and Dataiku.
• Experience with big data technologies such as Apache Spark and Kafka is preferred.
• Experience with workflow orchestration tools such as Airflow or similar tools.
• Ability to build reusable, scalable, and production-ready data pipelines.
• Strong understanding of data modelling, data partitioning, performance tuning, and data pipeline optimization.
• Experience in data validation, data quality checks, reconciliation, and root-cause analysis.
• Knowledge of data governance, metadata management, data cataloguing, and data lineage.
• Experience implementing data quality checks, validation rules, reconciliation controls, and monitoring frameworks.
• Understanding of GDPR and European data privacy regulations.
• Awareness of audit, regulatory, operational risk, and security requirements in banking.
• Ability to implement secure data access, encryption, masking, and role-based access controls where required.
Preferred Skills
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Data Engineering, or related field.
• Tools : SQL | Oracle | Python | Spark/PySpark | BODS | ODI | Snowflake | dbt |NiFi / OpenFlow | Dataiku | HOPEX |MicroStrategy | Power BI
• Prior experience in banking, financial services, risk, finance, payments, lending, or regulatory reporting environments.
• Experience supporting advanced analytics, BI reporting, and machine learning data pipelines.
• Exposure to Dataiku-based analytics workflows and integration with enterprise data platforms.
• Experience with MicroStrategy reporting ecosystems and downstream reporting consumption patterns.
• Knowledge of regulatory data requirements and audit-driven reporting processes.
• Experience working in Agile, Scrum, DevOps, or Waterfall delivery models.
👉 How to apply? You can apply to the links above or simply DM me your resume or kritya.sudha@kyndryl.com
Know someone who would be a great fit? Tag them in the comments below or share this post with your network! Let’s power human progress together.
💼 What to Bring:
copy of your updated Resume/CV.
Government-issued Photo ID (Aadhaar/PAN/Passport) for entry into Manyata Tech Park.
Click on Apply to know more.