Data Engineer / Senior Data Engineer (B)

LocationPune, Maharashtra, India
Work moderemote
Typefull-time
SenioritySenior
Company size7+ people
PostedJul 23, 2026 · 2mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Relevant years of experience in data engineering
Strong proficiency in Python, SQL, ETL, and data modeling
Experience with one or more of the following: Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, Big Data, Scala, Kafka
Willingness to learn and adapt to new technologies, specifically Databricks & AI/ML
Cloud knowledge (AWS, Azure, or GCP) is a plus
Experience with Databricks
Knowledge of AI/ML concepts and tools
Certification in relevant technologies
Skills
Python
SQL
ETL
Teradata
Informatica
Hadoop
Spark
PySpark
ADF
Snowflake
Big Data
Scala
Kafka
AWS
Azure
GCP
Databricks
AI/ML
Benefits
Remote work
Flexible hours
Competitive salary
About the role
Job Summary:
We’re seeking an experienced Data Engineer/ Sr Data Engineer / Lead Data Engineer
With expertise in data engineering across major data platforms. The ideal candidate will have a
strong background in Python, SQL, ETL, and data modeling, with experience in tools like
Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, and Big Data. Cloud
knowledge (AWS, Azure, or GCP) is a plus. The role requires a willingness to transition and
Responsibilities
upskill into Databricks & AI/ML projects.
Key Responsibilities:
● Design, develop, and maintain large-scale data systems
● Develop and implement ETL processes using various tools and technologies
● Collaborate with cross-functional teams to design and implement data models
● Work with big data tools like Hadoop, Spark, PySpark, and Kafka
● Develop scalable and efficient data pipelines
● Troubleshoot data-related issues and optimize data systems
● Transition and upskill into Databricks & AI/ML projects
Requirements
Requirements:
● Relevant years of experience in data engineering
● Strong proficiency in Python, SQL, ETL, and data modeling
● Experience with one or more of the following:
○ Teradata
○ Informatica
○ Hadoop
○ Spark
○ PySpark
○ ADF
○ Snowflake
○ Big Data
○ Scala
○ Kafka
● Cloud knowledge (AWS, Azure, or GCP) is a plus
● Willingness to learn and adapt to new technologies, specifically Databricks & AI/ML
Nice to have
Nice to Have:
● Experience with Databricks
● Knowledge of AI/ML concepts and tools
● Certification in relevant technologies
Benefits
What We Offer:
● Competitive salary and benefits
● Opportunity to work on cutting-edge projects
● Collaborative and dynamic work environment
● Professional growth and development opportunities
● Remote work opportunities & flexible hours