Big Data Platform Engineer

3 weeks ago


Kolkata, West Bengal, India Peoplemint Consultant LLP Full time

Job Summary :

We are seeking an experienced Big Data Platform Engineer to join our banking technology team. The ideal candidate will be responsible for designing, building, and maintaining scalable big data platforms to support advanced analytics, reporting, and regulatory compliance. This role demands strong technical acumen in distributed systems, data integration, and platform engineering, along with experience in BFSI environments.

Key Responsibilities :

- Design, develop, and maintain big data infrastructure and platforms (Hadoop, Spark, Kafka, etc.) to support large-scale data processing.

- Work closely with data scientists, analysts, and business stakeholders to support real-time and batch data pipelines.

- Ensure high availability, scalability, and security of big data environments.

- Automate workflows for data ingestion, transformation, and job scheduling using tools like Apache Airflow or Oozie.

- Monitor and optimize system performance and troubleshoot platform-related issues.

- Manage platform upgrades, patching, and support with strict adherence to SLAs and compliance.

- Implement governance, access control, and data privacy policies as per banking regulations (e.g., RBI, GDPR, etc.).

- Collaborate with DevOps and cloud teams for containerization, CI/CD pipelines, and cloud-based big data solutions (AWS/GCP/Azure).

- Document architecture, processes, and best practices.

Required Skills & Qualifications :

- Bachelor's/Master's degree in Computer Science, Engineering, or a related field.

- Minimum 5 years of hands-on experience in big data technologies.

- Expertise in Hadoop ecosystem (HDFS, Hive, HBase, Impala, etc.).

- Strong experience in Apache Spark (PySpark/Scala) and Kafka.

- Proficient in Linux system administration and scripting (Shell, Python).

- Experience with data pipeline orchestration tools (Airflow, Oozie).

- Familiarity with cloud platforms (AWS EMR, GCP DataProc, Azure HDInsight) is a plus.

- Knowledge of data security and compliance in financial systems.

- Solid understanding of relational and NoSQL databases.

- Strong problem-solving, analytical, and communication skills.

Preferred Qualifications :

- Certifications in Hadoop, Spark, or Cloud Platforms (AWS Big Data Specialty, etc.).

- Experience in banking/financial domain with understanding of regulatory requirements and risk/data governance frameworks.

- Exposure to MDM, metadata management, and data lineage tools.

(ref:hirist.tech)

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