Key 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.
Required Skills:
- 10+ years hand on experience in software development
- Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala)
- Data warehousing experience (Common data platforms such as Hadoop / Teradata / Snowflake etc.)
- years Hands-on experience in building codes for analysis large data sets with PySpark, Snowflake.
- year of experience working on Google or AWS cloud developing data solutions, certifications is a plus.
- years of experience in ETL streaming technologies to process data near real-time.
- Data Integration / ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio/Informatica PowerCenter etc.)
- 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
Qualifications:
- Bachelor’s degree in Computer Science or equivalent
- ETL(Abinitio/Talend) certification is a plus
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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