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Bengaluru · On-site · 5-8 Yrs · Oct 3
1 views
Unknown · Pune, India
3 open roles0 posted in 7d3 in 30d
Hiring: Engineering
Job description
Overview
Role: Databricks PySpark Developer
Responsibilities
- We are looking for a highly skilled Databricks PySpark Developer to join our data platform implementation team. In this role, you will be responsible for designing, developing, and optimizing scalable ETL pipelines and data workflows using Databricks and Apache Spark. You will work closely with data engineers, data scientists, and BI teams to support advanced analytics and reporting requirements.
- Data Pipeline Management Hands-on experience in building and managing advanced data pipelines using Databricks Workflows. Develop and maintain reliable, reusable, and scalable pipelines ensuring data quality and integrity. Collaborate with cross-functional teams to translate business and analytics requirements into efficient data pipelines.
- Data Analysis & Query Optimization Write, review, and optimize complex SQL queries for data transformation, aggregation, and analysis. Perform query tuning and performance optimization on large-scale datasets within Databricks.
- Project Coordination & Continuous Improvement Participate in project planning, estimation, and delivery activities. Stay updated with the latest features in Databricks, Spark, and cloud data platforms, and recommend best practices. Document ETL processes, data lineage, metadata, and workflows to support data governance and compliance. Mentor junior developers and contribute to team knowledge sharing where required.
Qualifications
- Location: Bangalore (onsite-5days) /no relocation candidates
- Notice period-immediate joiners/serving notice period
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in ETL/Data Engineering roles with strong focus on Databricks PySpark.
- Strong proficiency in Python, with hands-on experience in developing and debugging PySpark applications.
- In-depth understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL.
- Expertise in SQL development and optimization for large-scale data processing.
- Proven experience working with data warehousing concepts and ETL frameworks.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and collaboration skills.
- Hands-on experience with tools such as Databricks, Snowflake, Tableau, or similar data platforms.
- Strong understanding of data governance, data quality, and best practices in data engineering.
- Relevant certifications in Databricks, PySpark, Spark SQL, or cloud technologies.
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Job application FAQ
Last updated 3 October 2026
- How do I apply for Data Engineer- Databricks at r3 Consultant?
- 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. r3 Consultant may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer- Databricks 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- Databricks remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer- Databricks role at r3 Consultant?
- This is a mid-level Data Engineer- Databricks role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.