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JOB DETAILS:
* Job Title: Associate III - Data Engineering
* Industry: Global digital transformation solutions provide
* Salary: Best in Industry
* Experience: 4-6 years
* Location: Trivandrum, Kochi
Job Description
Job Title:
Data Services Engineer – AWS & Snowflake
Job Summary:
As a Data Services Engineer, you will be responsible for designing, developing, and maintaining robust data solutions using AWS cloud services and Snowflake.
You will work closely with cross-functional teams to ensure data is accessible, secure, and optimized for performance.
Your role will involve implementing scalable data pipelines, managing data integration, and supporting analytics initiatives.
Responsibilities:
• Design and implement scalable and secure data pipelines on AWS and Snowflake (Star/Snowflake schema)
• Optimize query performance using clustering keys, materialized views, and caching
• Develop and maintain Snowflake data warehouses and data marts.
• Build and maintain ETL/ELT workflows using Snowflake-native features (Snowpipe, Streams, Tasks).
• Integrate Snowflake with cloud platforms (AWS, Azure, GCP) and third-party tools (Airflow, dbt, Informatica)
• Utilize Snowpark and Python/Java for complex transformations
• Implement RBAC, data masking, and row-level security.
• Optimize data storage and retrieval for performance and cost-efficiency.
• Collaborate with stakeholders to gather data requirements and deliver solutions.
• Ensure data quality, governance, and compliance with industry standards.
• Monitor, troubleshoot, and resolve data pipeline and performance issues.
• Document data architecture, processes, and best practices.
• Support data migration and integration from various sources.
Qualifications:
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3 to 4 years of hands-on experience in data engineering or data services.
• Proven experience with AWS data services (e.g., S3, Glue, Redshift, Lambda).
• Strong expertise in Snowflake architecture, development, and optimization.
• Proficiency in SQL and Python for data manipulation and scripting.
• Solid understanding of ETL/ELT processes and data modeling.
• Experience with data integration tools and orchestration frameworks.
• Excellent analytical, problem-solving, and communication skills.
Preferred Skills:
• AWS Glue, AWS Lambda, Amazon Redshift
• Snowflake Data Warehouse
• SQL & Python
Skills: Aws Lambda, AWS Glue, Amazon Redshift, Snowflake Data Warehouse
Must-Haves
AWS data services (4-6 years), Snowflake architecture (4-6 years), SQL (proficient), Python (proficient), ETL/ELT processes (solid understanding)
Skills: AWS, AWS lambda, Snowflake, Data engineering, Snowpipe, Data integration tools, orchestration framework
Relevant 4 - 6 Years
python is mandatory
******
Notice period - 0 to 15 days only (Feb joiners’ profiles only)
Location: Kochi
F2F Interview 7th Feb
Digital and Technology Architecture
- Head the digital transformation and innovation projects from idea generation to new ventures in close collaboration with business stakeholders and external partners
- Present the vision & value of proposed architectures and solutions to a wide range of audiences in alignment with business priorities and objectives
- Plans tasks and estimates for the required research and volume of activities to complete work
- Own and assess non-functional requirements and propose solutions for Availability, Backup, Capacity, Performance, Redundancy, Reliability, Scalability, Supportability, Risks and Costs models
- Provide strategic guidance to teams on managing third-party service providers in terms of service levels, costing, etc.
- Drive the team to ensure appropriate documentation is developed in support of value realization
- Lead the technical team and head collaboration between Business Users and software providers to build digital solutions
Enterprise Architecture
- Ownership of overall Enterprise Architecture including compliances and standards
- Head the overall Architecture blueprint and roadmap for applications aligning with Enterprise Architecture
- Identify important potential technologies and approaches to address current and future Enterprise needs, evaluating their applicability and fit, as well as leading the definition of standards and best practice for their use
Data Architecture
- Ownership of overall Data Architecture including compliances and standards
- Head the overall Architecture blueprint and roadmap applications aligning with Data Architecture
- Identify important potential technologies and approaches to address current and future Data needs, evaluating their applicability and fit, as well as leading the definition of standards and best practice for their use

