Senior Data Acquisition Engineer - OB-721

Senior Data Acquisition Engineer - OB-721

07 Feb

07 Feb



About JPMorgan Chase & Co.

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.3 trillion and operations in more than 60 countries. The firm is a leader in investment banking, financial services for consumers, small business and commercial banking, financial transaction processing, asset management, and private equity. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at .

The Reference Data Technology Client team (part of the RFT) provides reference data delivery solutions delivering Client, Account, Document, Instrument and Core Reference across all LOB's.

We are looking for an individual who will be responsible for the technical delivery of the strategic client reference data platform.

Job Description:

The candidate will drive the development, management and maintenance of the reporting supporting CIB and CB line of business. It will also play a pivotal role in leading the data initiatives by partnering with business to optimize the data environment for quality, efficiency and performance. Candidate is expected to understand & design complex SQL queries to frame up the data warehouse for financial reporting & analytics. The role requires a strong reporting background with a focus on reconciliation, analytics, and working across functional areas. Interaction between business and other groups are required to ensure modifications to existing systems and new applications fully meet business requirements.

Build a target state data model

Build effective controls within data & reporting process

Convert complex business logic into effective SQL query

Identify opportunities to automate manual reporting process

Partner with Data IT teams to drive data development & enhancement through an agile process

Understand complex data environment and be able to propose solutions to simplify/ optimize

Drive migration of reporting/ data environment to next gen platform leveraging Big data tools

Partner with Stateside team and India lead, to prioritize requirements and develop a schedule to meet the deadline

Assist in defining and documenting new processes and training/ mentoring new hires on new processes.

Understands the SDLC, quality assurance/quality control concepts, metrics, methodologies and documentation standards.

The candidate must be a highly-motivated individual and must be able to handle a high volume of work, be able to deal with and work through ambiguity, be flexible enough to shift workload in accordance with changing priorities, and be comfortable dealing with a sometimes stressful and fast-paced, priority-driven environment.


Requires minimum 10-14 years of Data Management, Data Integration and Analytics experience

At least 2-4 years experience leading teams

Working exposure on data integration and handling projects that involves processing huge volume of data

Hands-on experience in preparing/integrating the datasets to match to the reporting requirements

Working knowledge on Data Management/Data Quality Rules development will be a plus

Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

High level of expertise in SQL, Data Warehousing & Business Intelligence concepts

Good working knowledge using Oracle and experience in creating/maintaining scalable database load process with hands-on experience in framing up Complex SQL Queries involving Data Analytical functions

Experience working with unstructured data like complex JSON structures

Strong Experience with ETL tools like Informatica

Exposure/Experience in a range of big data architectures and frameworks including Hadoop ecosystem, Java MapReduce, Pig, Hive, Spark, Impala will also be an added advantage

Exposure BI tools especially Qlik View, Tableau, BO is added advantage

Exposure to Python and Unix shell scripting is added advantage

Expertise in working with agile projects and exposure to automated testing / dev ops kind of environments.

Bachelor s degree required; Master s degree preferred


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