Data Engineering Lead C13 - VP

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities:

• Integral member of Data Engineering team, responsible for design and development of Big Data or RDBMS solutions.

• Partner with domain experts, product managers, analysts, and data scientists to develop Data pipeline and Databricks.
• Define needs around maintainability, testability, performance, security, quality and usability for data platform.
• Tune Big data applications on Hadoop and non-Hadoop platforms for optimal performance.
• Define and publish data analytics standards to adopt by others to operate.
• Able to perform in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.
• Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken.

Qualifications:

• 10+ years of experience in ETL streaming technologies to process data near real-time.
• 3+ years Hands-on experience in building codes for analysis large data sets with PySpark, Snowflake.
• 2+ year of experience working on Google or AWS cloud developing data solutions, certifications is a plus.
• Data warehousing experience (Common data platforms such as Hadoop / Teradata / Snowflake etc.)
• Data Integration / ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio/Informatica PowerCenter etc.)
• Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala)
• Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
• Data Migration, Data integration experience
• Strong development/automation skills
• Comprehensive knowledge of the principles of software engineering and data analytics
• Knowledge of agile (scrum) development methodology is a plus
• System level understanding - Data structures, algorithms, distributed storage & compute
• Can-do attitude on solving complex business problems, good interpersonal and teamwork skills.
• Having Funds Domain knowledge will be preferred 

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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