Bank Of America Data Engineer II - GBS 

India, Tamil Nadu, Chennai 

968745471

Responsibilities*

• Develop high-performance and scalable Analytics solutions using the Big Data platform to facilitate the collection, storage, and analysis of massive data sets from multiple channels.
• Utilize your in-depth knowledge of Hadoop stack and storage technologies, including HDFS, Spark, MapReduce, Yarn, Hive, Sqoop, Impala, Hue, and Oozie, to design and optimize data processing workflows.
• Apply your expertise in NoSQL technologies like MongoDB, SingleStore, or HBase to efficiently handle diverse data types and storage requirements.
• Implement Near real-time and Streaming data solutions to provide up-to-date information to millions of Bank customers.
• Collaborate with cross-functional teams to identify system bottlenecks, benchmark performance, and propose innovative solutions to enhance system efficiency.
• Take ownership of defining Big Data strategies and roadmaps for the Enterprise, aligning them with business objectives.
• Stay abreast of emerging technologies and industry trends related to Big Data, continuously evaluating new tools and frameworks for potential integration.
• Provide guidance and mentorship to junior teammates.

Education*

• Bachelor's or Master's degree in Science or Engineering.
• Certifications If Any: NA.

Experience Range*

• 06 Years To 10 Years.

Foundational Skills*

• Minimum of 7 years of industry experience, with at least 5 years focused on hands-on work in the Big Data domain.
• Highly skilled in Hadoop stack technologies, such as HDFS, Spark, Yarn, Hive, Sqoop, Impala and Hue.
• Strong proficiency in programming languages such as Python, Scala, and Bash/Shell Scripting.
• Excellent problem-solving abilities and the capability to deliver effective solutions for business-critical applications.
• Strong command of Visual Analytics Tools, with a focus on Tableau.

Desired Skills*

• Proficiency in NoSQL technologies like HBase, MongoDB, SingleStore, etc.
• Experience in Real-time streaming technologies like Spark Streaming, Kafka, Flink, or Storm.
• Familiarity with Cloud Technologies such as Azure, AWS, or GCP.
• Working knowledge of machine learning algorithms, statistical analysis, and programming languages (Python or R) to conduct data analysis and develop predictive models to uncover valuable patterns and trends.
• Proficiency in Data Integration and Data Security within the Hadoop ecosystem, including knowledge of Kerberos.

Work Timings*

• 12:00 PM to 09.00 PM IST.

Job Location*

• Chennai, Hyderabad, Mumbai.