Big Data Engineer / Data Platform Engineer

• Build and maintain large-scale data platforms in the financial domain.
• Contribute to data engineering, platform stability, and deployment automation.
• Partner with business, risk, compliance, and architecture teams to deliver data solutions.
• Develop on Big Data platforms using Hadoop ecosystem components including HDFS, Hive, Spark, and YARN.
• Design and operate streaming pipelines using Kafka or similar technologies.
• Translate business requirements into scalable data solutions and technical implementations.
• Troubleshoot and optimize data processing jobs across batch and streaming workloads.
• Ensure data quality, performance, and reliability across systems.
• Implement and maintain CI/CD pipelines with tools such as Jenkins and GitHub Actions.
• Support automated deployments and release processes using infrastructure as code.
• Monitor and troubleshoot platforms using tools like Splunk to improve reliability and efficiency.

We are seeking a Big Data Engineer / Data Platform Engineer to join our dynamic team. The ideal candidate will have strong experience in Big Data technologies, data engineering, and distributed systems and a proven ability to deliver scalable data platforms, optimize pipelines, and improve operational reliability., * Hands-on experience with Big Data technologies and distributed systems.

• Proficiency with Hadoop ecosystem: HDFS, Hive, Spark, and YARN.
• Experience building and optimizing batch and streaming data pipelines, preferably with Kafka.
• Experience implementing CI/CD and automated deployments using tools such as Jenkins and GitHub Actions.
• Exposure to infrastructure as code and platform monitoring with Splunk or similar tools.
• Demonstrated leadership and client relationship skills with a strong professional work ethic.
• Ability to work under pressure and deliver on time, individually and within a team.

Preferred Skills:

• Experience with Git-based workflows and release management in regulated environments.
• Background in financial services data platforms.

Schedule & Start Details:

• Hybrid schedule with a minimum of 3 days per week onsite.
• Start date targeted within 2 to 4 weeks after offer to meet business needs.
• Glider candidate ID verification required.

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.