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Programmer Analyst

Gurgaon, India
Technology

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Job Description

Functional Description:
Enterprise Data Management Team under Enterprise Digital & Analytics Group defines and implements the Enterprise Data Governance Policy and establishes common processes to help ensure and enable the use of high quality trusted data. The listed job is an exciting opportunity for supporting the Enterprise Digital and Analytics organization and be a part of the Enterprise Data Management (EDM) team
The Analyst role within Enterprise Data Management Team – Data Quality role will assist with defining and implementing the Data Quality Controls along with the Data Quality Strategy, training and reporting to help support the overall Data Management Program.

Purpose of the Role:
- The Analyst will be working closely with multiple Business Units, Technology and Partner teams to define and implement the Data Quality controls across multiple business units and support business users.
- He/ She will work closely to provide the solutions to address analytical User new Requirements, remove Pain points and improve the overall User Experience about usage of Data Quality Management Tool (Internal).
- He/ She will be required to build strong relationships with business data owner groups, Data Ingestion teams and Big Data Environment Product Owners to meet their goals, with the expectation to contribute to the ongoing improvement of processes and to maintain quality in their own work and the process as a whole
- He / She should work with Business & Tech Partners to address any Data Quality Issues in the data available in Big Data Environment.
- Work closely with the Peers on Centralized Monitoring System

Responsibilites:
- Liaise with the Onshore Counterparts on Project / Initiatives, perform data analysis, provide key recommendations and complete them within agreed timelines
- Establish & successful execution of the process for Data Quality Validation / Dashboards for various business metrics / Key Performance Indicators / Tables / Organized Tables / Use Cases etc.
- Apply Data Quality Rules for critical data elements of various Tables / Use Cases
- Perform Data Profiling / Analysis of the Data Quality Rules using the source data
- Proactively monitoring data quality of incoming customer data and investigate poor data quality and data anomalies. Closely monitor important business metrics on regular basis, create and share reports with the Senior Leadership team.
- Manage & leverage information across various data sources
- Exposure on data gap analysis to enhance customer experience and ability to build data retention environments
- Resolving customer and product data quality issues, and ensuring data quality initiatives deliver incremental improvements in data quality and customer contractibility
- Automate applications/manual routines to incorporate controls, validate write SQL queries to extract data and test it for accuracy and efficiency
- Demonstrate Project Management capabilities to drive business priorities and process improvement initiatives
- Design and execute User Acceptance Testing for Data Quality tools
- Create and maintain SOP documentation for all process specific tasks

Critical Factors to Success:

• The successful candidate should demonstrate:
- Strong analytical, data and technical acumen, and problem-solving skills.
- High proficiency with SQL
- Hands on experience with MS Excel, related functions and data analysis of large data sets
- Strong knowledge in Big data ecosystem
- Strong Communication Skills
- Good understanding of Hadoop Stack, MapReduce framework, Spark, Hive, Python, PySpark
- High degree of independence, able to propose innovative ideas and solutions to complex problems.
- Willing to learn new Tools & Techniques, and Programming languages

Qualifications

Past Experience:
- 1- 2+ years of experience working with or establishing a Data Quality framework, Data Program including consistent Data Quality processes and controls
- 2-4+ Years of Systems / Programming / Technical or Project Management Experience
- 2+ Year of experience using Hadoop Stack such as Hive, Python and Spark
- Experience with the Reporting tools like Tableau, Qlikview etc.
- Experience with data quality monitoring / Source data identification - good understanding of various data management/processing technologies; ability to reverse engineer 
- Experience using Data Quality tools for developing data profiling data & reporting 
- Good Understanding of payments industry & systems will be a plus

Academic Background:
- An advanced degree in IT or Computer Science. (MCA/ M-Tech / B-Tech) or Degree in Math, Statistics, Economics or similar quantitative field of study

Functional Skills/Capabilities:
- Excellent Interpersonal skills, Multitasking, and Thought-leadership skills with the ability to influence partners.
- Excellent Communication, Collaboration, and Change Management skills

Technical Skills/Capabilities:
- Proficiency with SQL
- Good understanding of Hadoop Stack, MapReduce framework, Spark, Hive, Python, PySpark
- Strong communication and negotiation skills combined with an ability to interact effectively with business leaders, data consumers and technologies
- Proven ability to adjust quickly to shifting priorities, multiple demands, ambiguity and rapid change
- Ability to work on multiple projects simultaneously and meet the deadlines as and when required
- Ability to develop effective working relationships with stakeholders of different seniority and geographical location 
- Strong attention to detail and being solution oriented 
- Ability to communicate complex ideas in a simple manner to a global audience 
- Should be comfortable with flexible shift timings
- Exceptional strategic and analytical thinking with experience working in a global environment

Platforms Knowledge: 
- SQL, Hadoop, HDFS, HIVE, Spark
- Big Data - Eco-systems
- Any Reporting Tools


Programming knowledge: 
Python, R

Behavioral Knowledge: 
Enterprise Leadership Behaviors
- Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
- Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
- Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage

ReqID: 19016697
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Sep 13, 2019, 1:09:32 AM
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