Data Engineer / Senior Data Engineer (B)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 80d ago
The date the source published, not the day we noticed it (2026-07-23). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $50k–82.5k/yr
Middle 50% of 12 listings that do state pay — Engineering · all levels · India · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 11h ago · last seen just now
The listing
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
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:
● 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:
● Experience with Databricks
● Knowledge of AI/ML concepts and tools
● Certification in relevant technologies
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