Expertise in AWS services like EC2, CloudFormation, S3, IAM, SNS, SQS, EMR, Athena, Glue, lake formation etc.
Expertise in Hadoop/EMR/DataBricks with good debugging skills to resolve hive and spark related issues.
Sound fundamentals of database concepts and experience with relational or non-relational database types such as SQL, Key-Value, Graphs etc.
Experience in infrastructure provisioning using CloudFormation, Terraform, Ansible, etc.
Experience in programming languages such as Python/PySpark.
Excellent written and verbal communication skills.
Key Responsibilities
- Working closely with the Data lake engineers to provide technical guidance, consultation and resolution of their queries.
- Assist in development of simple and advanced analytics best practices, processes, technology & solution patterns and automation (including CI/CD)
- Working closely with various stakeholders in US team with a collaborative approach.
- Develop data pipeline in python/pyspark to be executed in AWS cloud.
- Set up analytics infrastructure in AWS using cloud formation templates.
- Develop mini/micro batch, streaming ingestion patterns using Kinesis/Kafka.
- Seamlessly upgrading the application to higher version like Spark/EMR upgrade.
- Participates in the code reviews of the developed modules and applications.
- Provides inputs for formulation of best practices for ETL processes / jobs written in programming languages such as PySpak and BI processes.
- Working with column-oriented data storage formats such as Parquet , interactive query service such as Athena and event-driven computing cloud service - Lambda
- Performing R&D with respect to the latest and greatest Big data in the market, perform comparative analysis and provides recommendations to choose the best tool as per the current and future needs of the enterprise.
Required Qualifications
- Bachelors or Masters degree in Computer Science or similar field
- 2-4 years of strong experience in big data development
- Expertise in AWS services like EC2, CloudFormation, S3, IAM, SNS, SQS, EMR, Athena, Glue, lake formation etc.
- Expertise in Hadoop/EMR/DataBricks with good debugging skills to resolve hive and spark related issues.
- Sound fundamentals of database concepts and experience with relational or non-relational database types such as SQL, Key-Value, Graphs etc.
- Experience in infrastructure provisioning using CloudFormation, Terraform, Ansible, etc.
- Experience in programming languages such as Python/PySpark.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Cloud certification (AWS, Azure or GCP)
About Our Company
Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP.
Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.
Full-Time/Part-Time
Full time
Timings
(2:00p-10:30p)
India Business Unit
AWMPO AWMP&S President's Office
Job Family Group
Technology
