Technology Lead - Aws Data Engineer

Domain
Delivery
Interest Group
Company
ITL Canada
Requisition ID
153564BR
Infosys is seeking an experienced
Data Engineer
with 6+ years of experience in building scalable data platforms and ETL pipelines. The ideal candidate should have strong hands-on expertise in
AWS Athena ,
Scala, and
Apache Spark, with experience designing and optimizing large-scale data processing solutions in AWS environments. Experience with AWS data lake architectures, performance tuning, and distributed data processing is essential. The requirements align with enterprise data engineering practices found in internal data engineering profiles and job descriptions.
Required Qualifications
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
At least 4 years of Information Technology experience
Candidate must be located within commuting distance of
Burnaby, BC
or be willing to relocate to one of these areas. This position may require travel.
Preferred Qualifications
Design, develop, and maintain scalable ETL/ELT pipelines using
Scala and Apache Spark .
Build and optimize data processing workflows for large-scale structured and semi-structured datasets.
Develop and manage data lake solutions using
AWS S3, Athena, Glue, and EMR .
Optimize
Athena
queries, partitions, and data storage formats to improve performance and reduce costs.
Implement data quality checks, validation frameworks, and monitoring solutions.
Integrate data from multiple sources including databases, APIs, streaming platforms, and flat files.
Collaborate with Data Architects, Analysts, and Business Stakeholders to deliver data solutions.
Tune Spark jobs by optimizing joins, partitioning, caching, and shuffle operations.
Support CI/CD deployments, release management, and production issue resolution.
Participate in Agile ceremonies, code reviews, and technical design discussions.
At least 6 years of experience in Data Engineering.
Strong hands-on experience with
AWS Athena .
Strong development experience in
Scala .
Expertise in
Apache Spark
(Spark Core, Spark SQL).
Experience with AWS services such as
S3, Glue, EMR, IAM, CloudWatch .
Strong SQL and data modeling skills.
Experience building and maintaining ETL/ELT pipelines.
Good understanding of distributed data processing and performance tuning.
Experience with Git and CI/CD practices.
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
Estimated annual compensation range for the candidate based in the below location will be: British Columbia - $ 90450 to $ 136500
Additional Required Qualifications
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
About UsInfosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEOInfosys provides equal employment opportunities to applicants and employees without regard to race;
color;
sex;
gender identity;
sexual orientation;
religious practices and observances;
national origin;
pregnancy, childbirth, or related medical conditions;
status as a protected veteran or spouse/family member of a protected veteran;
or disability.
#J-18808-Ljbffr