Associate Iii

Role Proficiency This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources Must be adept at using ETL tools such as Informatica Glue Databricks and DataProc with coding skills in Python PySpark and SQL Works independently and demonstrates proficiency in at least one domain related to data with a solid understanding of SCD concepts and data warehousing principles Outcomes Collaborate closely with data analysts data scientists and other stakeholders to ensure data accessibility quality and security across various data sources rnDesign develop and maintain data pipelines that collect process and transform large volumes of data from various sources Implement ETL Extract Transform Load processes to facilitate efficient data movement and transformation Integrate data from multiple sources including databases APIs cloud services and third-party data providers Establish data quality checks and validation procedures to ensure data accuracy completeness and consistency Develop and manage data storage solutions including relational databases NoSQL databases and data lakes Stay updated on the latest trends and best practices in data engineering cloud technologies and big data tools Measures of Outcomes Adherence to engineering processes and standards Adherence to schedule timelines Adhere to SLAs where applicable of defects post delivery of non-compliance issues Reduction of reoccurrence of known defects Quickly turnaround production bugs Completion of applicable technical domain certifications Completion of all mandatory training requirementst Efficiency improvements in data pipelines e g reduced resource consumption faster run times Average time to detect respond to and resolve pipeline failures or data issues Outputs Expected Code Development Develop data processing code independently ensuring it meets performance and scalability requirements Documentation Create documentation for personal work and review deliverable documents including source-target mappings test cases and results Configuration Follow configuration processes diligently Testing Create and conduct unit tests for data pipelines and transformations to ensure data quality and correctness Validate the accuracy and performance of data processes Domain Relevance Develop features and components with a solid understanding of the business problems being addressed for the client Understand data schemas in relation to domain-specific contexts such as EDI formats Defect Management Raise fix and retest defects in accordance with project standards Estimation Estimate time effort and resource dependencies for personal work Knowledge Management Consume and contribute to project-related documents SharePoint libraries and client universities Design Understanding Understand design and low-level design LLD and link it to requirements and user stories Certifications Obtain relevant technology certifications to enhance skills and knowledge Skill Examples Proficiency in SQL Python or other programming languages utilized for data manipulation Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services e g AWS Glue BigQuery Conduct tests on data pipelines and evaluate results against data quality and performance specifications Experience in performance tuning data processes Proficiency in querying data warehouses Knowledge Examples Knowledge Examples Knowledge of various ETL services provided by cloud providers including Apache PySpark AWS Glue GCP DataProc DataFlow and Azure ADF ADLF Understanding of data warehousing principles and practices Proficiency in SQL for analytics including windowing functions Familiarity with data schemas and models Understanding of domain-related data and its implications Additional Comments 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 o Design and implement scalable and secure data pipelines on AWS and Snowflake Star Snowflake schema o Optimize query performance using clustering keys materialized views and caching o Develop and maintain Snowflake data warehouses and data marts o Build and maintain ETL ELT workflows using Snowflake-native features Snowpipe Streams Tasks o Integrate Snowflake with cloud platforms AWS Azure GCP and third-party tools Airflow dbt Informatica o Utilize Snowpark and Python Java for complex transformations o Implement RBAC data masking and row-level security o Optimize data storage and retrieval for performance and cost-efficiency o Collaborate with stakeholders to gather data requirements and deliver solutions o Ensure data quality governance and compliance with industry standards o Monitor troubleshoot and resolve data pipeline and performance issues o Document data architecture processes and best practices o Support data migration and integration from various sources Qualifications o Bachelor s degree in Computer Science Information Technology or a related field o 3 to 4 years of hands-on experience in data engineering or data services o Proven experience with AWS data services e g S3 Glue Redshift Lambda o Strong expertise in Snowflake architecture development and optimization o Proficiency in SQL and Python for data manipulation and scripting o Solid understanding of ETL ELT processes and data modeling o Experience with data integration tools and orchestration frameworks o Excellent analytical problem-solving and communication skills Preferred Skills o AWS Glue AWS Lambda Amazon Redshift o Snowflake Data Warehouse o SQL Python Skills Aws Lambda AWS Glue Amazon Redshift Snowflake Data Warehouse About Company UST is a global digital transformation solutions provider For more than 20 years UST has worked side by side with the world s best companies to make a real impact through transformation Powered by technology inspired by people and led by purpose UST partners with their clients from design to operation With deep domain expertise and a future-proof philosophy UST embeds innovation and agility into their clients organizations With over 30 000 employees in 30 countries UST builds for boundless impact touching billions of lives in the process