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Nigel Frank International US Dallas Full-Time
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Key Responsibilities
* Demonstrate strong technical capabilities and knowledge of building and maintaining large volume data solutions
• Design solutions for data aggregation, improve data foundational procedures, integrate new data management technologies and software into the existing system and build data collection pipelines
• Experience in programming, database management, data warehousing for big data applications.
* Team player in large scale client engagements and/or smaller client engagements while consistently delivering quality client services.
* Understanding business and technical requirements
* Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
* Should be able to write effective, scalable python code
• Support the growth of the data migration / data warehouse & data integration practice through internal initiatives and identifying new business opportunities
* Develop back-end components to improve responsiveness and overall performance
* Integrate user-facing elements into applications
* Test and debug programs
* Improve functionality of existing systems
* Assess and prioritize feature requests
* Coordinate with internal teams to understand user requirements and provide technical solutions
* Building a quality culture
* Foster teamwork and lead by example
* Training and mentoring of project resources
* Participating in the organization-wide people initiatives
* Need to work as a team member to contribute in various technical streams of Data and Analytics implementation project.
* Provide product and design level technical best practices
* Interact with the onsite coordinators
* Completion of assigned tasks on time and regular status reporting to the lead

Mandatory Experience
§ Bachelors+ with adequate industry experience
§ Minimum 4+ years of experience on Big Data technologies and Python programming
§ Very good experience on Big Data Analytics along with sound knowledge on Java and Python.
§ Should have completed at least 2 full life cycle experience in data analytics project
§ Establishing scalable, efficient, automated processes for large scale data analyses and management
§ Discover, design, and develop analytical methods to support novel approaches of data and information processing
§ Prepare and analyse historical data and identify patterns
§ Prior experience and expertise in the following domain:
o Building or improving data transformation processes, data visualisations and applications
o Exposure to Kafka, Hadoop and data processing engines such as Spark or Hadoop MapReduce
o Big Data querying tools such as Pig or Hive or Impala
o Solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data
§ Experience working on Hadoop cluster, Big Data technologies like Python, Spark, etc. along with hands on experience in writing Java programs for Big data analytics.
§ Significant programming experience in high-level languages such as Python, Java, Scala etc.,
§ Excellent analytical (including problem solving), technical and communication skills
§ Write effective, scalable code in Java for Big Data Analytics.
§ Hands-on experience in writing effective code in Python/R/SAS
§ Must have experience writing map-reduce programs using Java
§ To create Solution approach for innovative scenarios
§ To define hypothesis and to identify the analysis trail for the given business problem.
§ To collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques.
§ To validate the model results and articulate the insights to the business team.
§ Drive the Business requirements gathering for analytics projects
§ Intellectual curiosity - eagerness to learn new things
§ Experience with unstructured data
§ Ability to effectively visualize and communicate analysis results
§ Strong problem-solving skills & proactive attitude
§ Client focused with good presentation, communication and relationship building skills.
§ Up-to-date of the latest industry regulations and have a keen interest in future technology trends
§ Should be able to identify profitable opportunities, sell-on at client work, make a significant contribution in supporting a market proposition/capability and wider practice contribution
§ Should inspire change and make an impact within the team and in a client organisation

Desired Experience:
§ Experience working on Banking and Capital Markets
§ Must have experience working on Hadoop cluster, Big Data technologies like Python etc. along with hands on experience in writing Java programs for Big data analytics.
§ Sound knowledge on writing Map-reduce programs using java
§ Familiarity with cloud systems such as AWS, Azure
§ Experience using Agile methodologies
§ Experience in using Statistical techniques like: Regression Modeling/ Optimization/ Structuring
§ Drive the Business requirements gathering for analytics projects
§ Good to have Spark, Pandas, Scikit learn
§ Good to have programming experience (e.g. application development or scripting languages - Perl, VBasic, VBScript, Unix Shell scripts)
§ Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
§ Hands-on programming experience in Kafka, Apache Spark using SparkSQL and Spark Streaming or Apache Storm.
§ Willingness to travel to meet client needs
§ Prior Client facing skills


Recommended skills

Apache Storm
Apache Spark
Big Data
Data Ingestion
Data Warehousing
Data Quality
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