Bangalore
1 day ago
Specialist I - Software Engineering (Technical Lead - Python, Databricks, AWS)

Role Proficiency:

Systematically develops and promotes technology solutions ensuring the developed solution meets both functional and non – functional requirements.

Outcomes:

      Develop and promote technical solutions which support the business requirements within area of expertise.       Ensures IT requirements are met and service quality maintained when introducing new services. Considers the cost effectiveness of proposed solution(s).       Set FAST goals and provide feedback to FAST goals of mentees       Innovative and technically sound for project analysis in depth.       Uphold the standards and best practices by adhering to them in his/her work as well as by implementing them in the team’s work by reviewing and monitoring.       Provide innovative contribution within the team by coming up with ideas to automate repetitive work.       Able to mentor Developers in such a way that they can progress to the next level of growth.       Conduct peer reviews and demand high quality standards for the reviewed deliverables. Conduct technical assessments for hiring candidates to Developer roles.

Measures of Outcomes:

      Adherence to engineering process and standards (coding standards)       Defined productivity standards for project       Schedule Adherence       Mandatory Trainings/Certifications       Innovativeness (In terms of how many new ideas/thought processes/standards/best practices he/she has come up with)       Maintain quality standards for individual and team       Adhere to project schedules for individual and team       Number of technical issues uncovered during the execution of the project       Number of defects in the code    Number of defects post delivery    Number of noncompliance issues    On time completion of mandatory compliance trainings Adhere to organizational policies and processes

Outputs Expected:

Code:

Independently develop code for above Maintain best coding and engineering practices


Configure:

Implement and monitor configuration process


Test:

Create and review unit test cases
scenarios and execution 100% code coverage for unit testing


Documentation:

Sign off templates
checklists
guidelines
standards for design/process/development Sign off deliverable documents – design documentation
requirements
test cases and results


Design:

Creation of design LLD architecture for Applications
Features
Business Components and Data Models


Interface with Customer:

Proactively influence customer thought process Consider NPS Score for customer and delivery performance


Manage Project:

Contribute to module level development


Manage knowledge:

Consume and contribute to project related documents
share point
libraries and client universities Creation of knowledge sharing assets


Assists others in resolving complex technical problems::

Manage all aspects of problem management activities
investigating the root cause of problems and recommend SMART (specific
measurable
achievable
realistic
timely) solutions


Development and review of Standards & Documentation::

Maintenance of software process improvement activities; communicating to a range of individuals
teams and other bodies.

Skill Examples:

     Proactively identify solutions for technical issues      Ability to maintain technical evaluation procedures      Ability to estimate project effort based on the requirement      Perform and evaluate test results against product specifications      Break down complex problems into logical components      Interface with other teams designers and other parallel practices      Set goals for self and team. Provide feedback to team members      Create and articulate impactful technical presentations      Follow high level of business etiquette in emails and other business communication   Drive conference calls with customers and answer customer questions   Proactively ask for and offer help   Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks. Build confidence with customers by meeting the deliverables on time with a quality product

Knowledge Examples:

     Deep level proficiency in the specialist area.      Proficiency in technology stacks      Appropriate software programs / modules      Programming languages      DBMS      Operating Systems and software platforms      SDLC      Integrated development environment (IDE)      Agile – Scrum or Kanban Methods   Knowledge of customer domain and sub-domain where problem is solved.   Knowledge of new technologies (e.g. Data science AI/ML IoT big data and cloud platform etc RDBMS and NOSQL Deep knowledge of architecting solutions and applications on cloud-based infrastructures.

Additional Comments:

Position Overview We are seeking an experienced Snowflake Developer with a proven track record in designing, implementing, and optimizing data solutions using Snowflake's cloud data platform. The ideal candidate will have extensive experience in data loading processes from AWS S3 to Snowflake and be well-versed in AWS services and DevOps practices. Required Qualifications Minimum 8-10 years of professional experience in a similar role (relevant experience) Strong expertise with Databricks + Python Strong expertise in Snowflake's architecture, features, and best practices Demonstrated experience in loading data from AWS S3 to Snowflake using various methods (COPY, Snowpipe, etc.) Proficient in writing optimized SQL queries for Snowflake Strong experience and hands on with AWS services (S3, Lambda, IAM, etc.) Knowledge of CI/CD pipelines and AWS CloudFormation Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience) Preferred Qualifications Snowflake Certification Experience with Snowflake DevOps practices Experience with version control tools (Git, GitHub, etc.) Experience with Python or another programming language for scripting and automation with strong scripting skills Understanding of data governance and security principles Knowledge in Airflow Key Responsibilities Design and implement efficient data loading processes from S3 to Snowflake Create and maintain Snowflake objects (warehouses, databases, schemas, tables, views, stored procedures) Collaborate with data engineers, analysts, and business stakeholders Assist in establishing and maintaining CI/CD pipelines for Snowflake deployments Document processes, configurations, and implementations Support Snowflake maintenance activities including user management and resource monitoring Troubleshoot and resolve data loading and processing issues Accountable & ownership of technical solutioning and delivery Skills Advanced SQL knowledge along with exceptional scripting skills AWS services (S3, Lambda, IAM, CloudFormation) Snowflake architecture and features Data integration and ETL processes CI/CD and DevOps practices Problem-solving and analytical thinking Effective communication and collaboration Strong stakeholder management skills

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