7 - 12 years
9 - 14 Lacs
Posted:1 month ago|
Platform:
Work from Office
Full Time
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics AI
Management Level
Manager
Summary
. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Summary We are looking for a skilled Databricks Engineer to join our team in Bangalore. The candidate will be responsible for designing, developing, and optimizing scalable data solutions. You will play a critical role in building data pipelines and transforming complex data into actionable insights by leveraging cloudnative tools and technologies.
Responsibilities
We are seeking a talented Data Engineer with strong expertise in Databricks, specifically in Unity Catalog, PySpark, and SQL, to join our data team. You ll play a key role in building secure, scalable data pipelines and implementing robust data goverce strategies using Unity Catalog. Key Responsibilities Design and implement ETL/ELT pipelines using Databricks and PySpark. Work with Unity Catalog to manage data goverce, access controls, lineage, and auditing across data assets. Develop highperformance SQL queries and optimize Spark jobs. Collaborate with data scientists, analysts, and business stakeholders to understand data needs. Ensure data quality and compliance across all stages of the data lifecycle. Implement best practices for data security and lineage within the Databricks ecosystem. Participate in CI/CD, version control, and testing practices for data pipelines. Required Skills Proven experience with Databricks and Unity Catalog (data permissions, lineage, audits). Strong handson skills with PySpark and Spark SQL. Solid experience writing and optimizing complex SQL queries. Familiarity with Delta Lake, data lakehouse architecture, and data partitioning. Experience with cloud platforms like Azure or AWS. Understanding of data goverce, RBAC, and data security standards. Preferred Qualifications Databricks Certified Data Engineer Associate or Professional. Experience with tools like Airflow, Git, Azure Data Factory, or dbt. Exposure to streaming data and realtime processing. Knowledge of DevOps practices for data engineering.
Mandatory skill sets
Databricks
Preferred skill sets (Good to
Have)
Python, Pyspark
Years of experience required 712 years
Education qualification
BE/B.Tech/MBA/MCA
Education
Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering
Degrees/Field of Study preferred
Certifications (if blank, certifications not specified)
Required Skills
Data Engineering
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more}
Travel Requirements
Not Specified
Available for Work Visa Sponsorship
No
Government Clearance Required
No
Job Posting End Date
PwC Service Delivery Center
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