Data Engineer II A - GBS IND

Job Description:

About Us

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.  Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Global Business Services

Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.

Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation.

In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.

Process Overview*

The Analytics and Intelligence Engine (AIE) team transforms analytical and operational data into Consumer and Wealth Client insights and enables personalization opportunities that are provided to Associate and Customer-facing operational applications. The Big data technologies used in this are Hadoop /PySpark / Scala, HQL as ETL, Unix as file Landing environment, and real time (or near real time) streaming applications.

Job Description*

We are actively seeking a talented and motivated Senior Hadoop Developer/ Lead to join our dynamic and energetic team. As a key contributor to our agile scrum teams, you will collaborate closely with the Insights division. We are looking for a candidate who can showcase strong technical expertise in Hadoop and related technologies, and who excels at collaborating with both onshore and offshore team members. The role requires both hands-on coding and collaboration with stakeholders to drive strategic design decisions. While functioning as an individual contributor for one or more teams, the Senior Hadoop Data Engineer may also have the opportunity to lead and take responsibility for end-to-end solution design and delivery, based on the scale of implementation and required skillsets.

Responsibilities*

• Develop high-performance and scalable solutions for Insights, 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, Scala, MapReduce, Yarn, Hive, Sqoop, Impala, Hue, and Oozie, to design and optimize data processing workflows.
• Implement Near real-time and Streaming data solutions to provide up-to-date information to millions of Bank customers using Spark Streaming, Kafka.
• 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.
• Apply your expertise in NoSQL technologies like MongoDB, SingleStore, or HBase to efficiently handle diverse data types and storage requirements.
• 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.

Requirements*

Education*

• Graduation / Post Graduation:  BE/B.Tech/MCA

Certifications If Any: NA

Experience Range*

• 6 to 12 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, Hive, Yarn, 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*

• Experience in Real-time streaming technologies like Spark Streaming, Kafka, Flink, or Storm.
• Proficiency in NoSQL technologies like HBase, MongoDB, SingleStore, etc.
• 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, Mumbai