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Think People Solutions
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Pune · On-site · 1-3 Yrs · 5 days ago
HR Consulting · 1 to 50 Employees · Mumbai, India
2 open roles1 posted in 7d2 in 30d
Work-life balance 2.8Compensation & benefits 2.9Culture & values 2.8
Hiring: Engineering
What employees say
+ Supportive managers, lead and colleagues Good work/life balance. Transparent leadership. Multiple clients to work which leads to growth, both professionally and personally On time
− No Commercial and fun activities.
More reviews on the company profile.
Interview experience · Business Analyst
They Called me for interview .HR arrange my interview and one day before she not even sent me call letter.After Contacting them they told that they have not selected my resume for interview.Worst experience.
Mumbai · 4 reports
More interview insightsJob description
Overview
As a Data Engineer at our company, you will play a crucial role in supporting the successful delivery of Location Strategy projects.
Responsibilities
- Hands-on experience in pyspark with a strong understanding of Dataframes, RDD, and SparkSQL- Developing, testing, and maintaining applications on AWS Cloud
- Proficiency in AWS Data Analytics Technology Stack including Glue, S3, Lambda, Lake Formation, and Athena
- Designing and implementing scalable and efficient data transformation/storage solutions using Snowflake
- Ingesting data into Snowflake using various storage formats such as Parquet, Iceberg, JSON, and CSV- Working with DBT (Data Build Tool) for ELT pipeline development in Snowflake
- Writing advanced SQL and PL SQL programs
- Building reusable components using Snowflake and AWS Tools/Technology
- Hands-on experience in at least two major project implementations
- Exposure to data governance or lineage tools like Immuta and Alation
- Familiarity with Orchestration tools such as Apache Airflow or Snowflake Tasks
- Knowledge of Abinitio ETL tool will be a plusQualifications Required:- Ability to engage with Stakeholders, elicit requirements/user stories, and translate requirements into ETL components
- Understanding of infrastructure setup and ability to provide solutions either individually or collaboratively
- Good knowledge of Data Marts and Data Warehousing concepts
- Strong analytical and interpersonal skills
- Hands-on experience in pyspark with a strong understanding of Dataframes, RDD, and SparkSQL- Developing, testing, and maintaining applications on AWS Cloud
- Proficiency in AWS Data Analytics Technology Stack including Glue, S3, Lambda, Lake Formation, and Athena
- Designing and implementing scalable and efficient data transformation/storage solutions using Snowflake
- Ingesting data into Snowflake using various storage formats such as Parquet, Iceberg, JSON, and CSV- Working with DBT (Data Build Tool) for ELT pipeline development in Snowflake
- Writing advanced SQL and PL SQL programs
- Building reusable components using Snowflake and AWS Tools/Technology
- Hands-on experience in at least two major project implementations
- Exposure to data governance or lineage tools like Immuta and Alation
- Familiarity with Orchestration tools such as Apache Airflow or Snowflake Tasks
- Knowledge of Abinitio ETL tool will be a plusQualifications Required:- Ability to engage with Stakeholders, elicit requirements/user stories, and translate requirements into ETL components
- Understanding of infrastructure setup and ability to provide solutions either individually or collaboratively
- Good knowledge of Data Marts and Data Warehousing concepts
- Strong analytical and interpersonal skills
- Experience in implementing Cloud-based Enterprise data warehouse with multiple data platforms, including Snowflake and NoSQL environment for data movement strategyAdditional Details:You may also be evaluated on key critical skills essential for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology expertise. The position is based in Pune.
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Job application FAQ
Last updated 29 October 2026
- How do I apply for Data Engineer - PySpark | AWS | Snowflake | DBT | Pune (India) at Think People Solutions?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Think People Solutions may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer - PySpark | AWS | Snowflake | DBT | Pune (India) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer - PySpark | AWS | Snowflake | DBT | Pune (India) remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - PySpark | AWS | Snowflake | DBT | Pune (India) role at Think People Solutions?
- This is a mid-level Data Engineer - PySpark | AWS | Snowflake | DBT | Pune (India) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.