Highly Skilled Data Professional

16 hours ago

Aurangabad, Maharashtra, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,00,00,000

Our company is looking for a highly skilled Data Engineer to join our team. In this role, you will be responsible for designing and implementing large-scale data systems that can handle petabyte-level data.


The ideal candidate will have expertise in Java for data-intensive applications and hands-on experience with lakehouse architectures, stream processing (Flink), and event streaming (Kafka/Pulsar).


You will also need strong SQL skills and familiarity with RDBMS/NoSQL databases, as well as a proven track record in optimizing query engines (e.g., Spark, Presto) and data pipelines.


Additionally, the candidate should have knowledge of data governance, security frameworks, and multi-tenant systems, as well as experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform).

Key Responsibilities:
  • Architect and build scalable systems to unify data lakes and warehouses.
  • Develop and optimize streaming pipelines using Kafka, Pulsar, and Flink to process structured/unstructured data with low latency.
  • Leverage Java to build scalable, high-throughput data applications and services.
  • Leverage modern data warehouses and query engines (Trino, Spark) for sub-second operation and analytics on real-time data.
  • Work with RDBMS (PostgreSQL, MySQL, SQL Server) and NoSQL (Cassandra, MongoDB) systems to manage diverse data workloads.
  • Ensure data integrity, security, and compliance across multi-tenant systems.
  • Manage production infrastructure for reliability, scalability, and cost efficiency.
  • Stay ahead of trends in the data ecosystem (e.g., Open Table Formats, stream processing) to drive technical excellence.
Qualifications:
  • 8+ years of data engineering experience with large-scale systems (petabyte-level).
  • Expert proficiency in Java for data-intensive applications.
  • Hands-on experience with lakehouse architectures, stream processing (Flink), and event streaming (Kafka/Pulsar).
  • Strong SQL skills and familiarity with RDBMS/NoSQL databases.
  • Proven track record in optimizing query engines (e.g., Spark, Presto) and data pipelines.
  • Knowledge of data governance, security frameworks, and multi-tenant systems.
  • Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform).
What We Offer:
  • A unique experience in Fin-Tech industry with a leading, fast-growing company.
  • A good atmosphere at work and a comfortable working environment.
  • Additional benefits such as Group Health Insurance - OPD Health Insurance.
  • Coverage for Self + Family (Spouse and up to 2 Children).
  • Attractive Leave benefits like Maternity, Paternity Benefit, Vacation leave & Leave Encashment.
  • Reward & Recognition – Monthly, Quarterly, Half yearly & yearly.
  • Loyalty benefits.
  • Employee referral program.

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