Job Details:
Position: Senior Data Engineer
Experience: 5 years
Work Mode: Hybrid Pune
Location: Preferred from Pune. (Relocation)
Shift: Time zone overlap time with US 8:30 pm to 11:30 pm IST
Candidates with a strong background in streaming technologies such as Kafka AWS MSK AWS Kinesis AWS Data Firehose and Snowpipe streaming. Essential skills
- Ability to work independently
- CloudOps expertise for setting up infrastructure using IaC tools like Terraform and Pulumi
- Strong experience in building ETL pipelines.
- Understanding delta loading and CDC in Snowflake is also crucial
Responsibilities:
- Design develop and maintain a data platform that is accurate secure available and fast.
- Engineer efficient adaptable and scalable data pipelines to process data.
- Integrate and maintain a variety of data sources: different databases APIs SAASs files logs events etc.
- Create standardized datasets to service a wide variety of use cases.
- Develop subjectmatter expertise in tables systems and processes.
- Partner with product and engineering to ensure product changes integrate well with the data platform.
- Partner with diverse stakeholder teams understand their challenges and empower them with data solutions to meet their goals.
- Perform data quality on data sources and automate and maintain a quality control capability.
Qualifications:
- At least 5 years of experience as a Data Engineer
- You have handson and deep experience with Star/Snowflake schema design data modeling data pipelining and MLOps. Experience in Data Warehouse technologies (e.g. Snowflake AWS Redshift etc)
- Experience in AWS data pipelines (Lambda AWS glue Step functions etc)
- Fintech or Financial services industry experience
- You are proficient in SQL and at least one major programming language like Python Java
- Experience with Data Analysis Tools such as Looker or Tableau
- Experience with Pandas Numpy Scikitlearn and Jupyter notebooks preferred familiarity with Git GitHub and JIRA.
- You have an eye for detail. You catch & resolve data quality issues before others do
- You are always looking for opportunities to simplify automate tasks and build reusable components. You use good judgment in applying new technologies to solve business problems
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