Analyst, Data Engineer, Institutional Banking Group Technology ? Future Ready

Job title: Analyst, Data Engineer, Institutional Banking Group Technology ? Future Ready

Company: DBS Bank

Job description: Business FunctionGroup Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank’s operational processes and inspire to delight our business partners through our multiple banking delivery channels.Roles & Responsibilities

• As a Data Engineering developer, you will help design and build scalable and performant metadata driven complex data pipelines, data quality frameworks etc using the tools and methodologies adopted by the bank from time to time.
• You will apply and invent state-of-the-art technologies to enable scaling and faster pace of execution in order to facilitate availability of good quality data on time for all it’s consumers.
• You are expected to work with cross-functional teams and are able to execute well in a fast-paced and agile environment.
• Identify, analyze, and interpret trends or patterns in data sets etc and derive intelligent processing and batch scheduling.
• Be able to perform multiple roles seamlessly as required viz. Business Analyst, Solution Architect and Developer based on the requirement.
• Be able to perform multiple roles seamlessly as required viz. Business Analyst, Data Scientist and Solution Designer and Developer based on the requirement.
• You should drive the data strategy inline with the IBGT management vision.
• You should drive best practices and ensure adoption without disruption.
• Be a self-starter and must exhibit full sense of ownership of the platform you work on.

Requirements

• Degree in Computing / Computer Science / Engineering preferred.
• Between 1 to 2.5 years of experience
• Extensive Experience with Python, Pyspark and SQL worked on machine learning and reporting tools – adept at queries, report writing and presenting findings.

• Strong ability to comprehend complex technology and business problems.
• Should be able to dig deep into data assets and be able to perform EDA. Good hands-on understanding of Panda, Numpy, Matplotlib.

• Must have hands on experience in Big Data ecosystem – Hadoop (MapReduce, YARN2.0,), Hive, Impala, Alluxio etc. with good knowledge on performance tuning and distributed computing using PySpark.
• Must have good knowledge of Unix Shell and Shell Scripting.
• Must have worked on one or more batch scheduling tools and created CI/CD pipelines for automated deployment etc.
• Work within data analytics platforms (Python, Spark, R, SQL) worked on machine learning in large data sets.
• Develop consistent and reliable solutions that can be further leveraged upon to scale for various business objectives.
• Approach work with an inquisitive mindset, deriving intuitive solutions to complex business objectives.
• Analytical mind with a problem-solving aptitude

• Exposed to Bigdata / Hadoop technology ecosystem (viz frameworks involving Ingestion, DQ, Computation and ML)
• Familiarity with “big data” and analytics trends and tools.
• Excellent collaboration and teamwork – ability to work cross functions and lead squads.
• Experience on a data science /analytics project in complex banking environment will be a big plus.

Expected salary:

Location: Hyderabad, Telangana

Job date: Sat, 06 Jul 2024 04:14:39 GMT

Apply for the job now!

Submit your Resume!