Manager Software Development Engineer

• Implement data security and privacy measures to protect sensitive data

• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

• Collaborate and communicate effectively with product teams

• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions

• Identify and resolve complex data-related challenges

• Adhere to best practices for coding, testing, and designing reusable code/component

• Explore new tools and technologies that will help to improve ETL platform performance

• Participate in sprint planning meetings and provide estimations on technical implementation

• Ability to lead Production Support and working with cross-functional teams and vendors to ensure stability and continuity

Basic Qualifications and Experience:

• Doctorate Degree OR

• Masters degree with 6 - 11 years of experience in Computer Science, IT or related field OR

• Bachelors degree with 8 - 13 years of experience in Computer Science, IT or related field ORDiploma with 10 - 14 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills

• Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing

• Proficiency in data analysis tools (eg.SQL) and experience with data visualization tools

• Skilled in MuleSoft API and Mulesoft integration job design and development

• Excellent problem-solving skills and the ability to work with large, complex datasets

• Strong understanding of data governance frameworks, tools, and best practices.

• Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

Good-to-Have Skills:

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development

• Strong understanding of data modeling, data warehousing, and data integration concepts

• Knowledge of AnyPointPlatform, Python/R, Databricks, SageMaker, Airflow, AWS cloud data platforms

• Proficiency in using Databricks Assistant, and other AI tools

Professional Certifications

• Certified in MuleSoft Certified Developer 1 or higher (preferred)

• Certified Associate or Professional Data Engineer / Data Analyst (preferred on Databrick)

• Certified AWS Professional or Associate certification (preferred)

Soft Skills:

• Excellent critical-thinking and problem-solving skills

• Strong communication and collaboration skills

• Demonstrated awareness of how to function in a team setting

• Demonstrated presentation skills.