Lead Data Engineer

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

Bachelors or Masters 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! Lets 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.