Role Overview
Fractal Analytics is hiring a entry-level Data Engineer - AWS + Python. This is a full-time role in IN. Part of Fractal Analytics's Data Engineering hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Key responsibilities include:
- Work closely with Product Owners and AWS Professional Service Architects to understand requirements, formulate solutions, and implement them.
- Implement scalable data transformation pipelines as per design - Implement Data model and Data Architecture as per laid out design.
- Evaluate new capabilities of AWS analytics services, develop prototypes, and assist in drawing POVs, participate in design discussions
Requirements
- Minimum 3 years experience implementing transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
- At least 2 years implementing solutions using AWS services such as Lambda, AWS Athena and Glue AWS S3, Redshift, Kinesis, Lambda, Apache Spark,
- Experience working with data warehousing data lakes or Lakehouse concepts on AWS
- Experience implementing batch processing using AWS Glue/Lake formation, & Data Pipeline
- Experience in EMR/MSK
- Experience or Exposure to AWS Dynamo DB will be a plus
- Develop object-oriented code using Python, besides PySpark, SQL and one other languages (Java or Scala would be preferred)
- Experience on Streaming technologies both OnPrem/Cloud such as consuming and producing from Kafka, Kinesis
- Experience building pipelines and orchestration of workflows in an enterprise environment using Apache Airflow/Control M
- Experience implementing Redshift on AWS or any one of Databricks on AWS, or Snowflake on AWS
- Good understanding of Dimensional Data Modelling will be a plus.
- Ability to multi-task and prioritize deadlines as needed to deliver results
- Ability to work independently or as part of a team
- Excellent verbal and written communication skills with great attention to detail and accuracy
- Experience working in an Agile/Scrum environment
Frequently Asked Questions
How do I apply for the Data Engineer - AWS + Python position at Fractal Analytics?
Use the Apply button above to submit your application directly to Fractal Analytics. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Engineer - AWS + Python position at Fractal Analytics located?
This position is based in IN. Fractal Analytics has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Engineer - AWS + Python at Fractal Analytics earn?
Fractal Analytics has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Engineer - AWS + Python role at Fractal Analytics posted?
This role was posted on June 1, 2026 (7 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Data Engineer - AWS + Python role at Fractal Analytics entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Fractal Analytics has listed.
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