Databricks Engineer

Overview

Experienced Data Engineer with 7.5+ years of expertise in database development, ETL, and cloud-based data solutions. Proficient in Oracle PL/SQL, MySQL, SQL Server, Redshift, PostgreSQL, and Netezza. Skilled in Python, Unix Shell Scripting, PySpark, Databricks, SnapLogic, and Snowflake. Hands-on experience with AWS services like S3, Lambda, and EC2, along with Active Batch scheduling. Adept in data analytics using Power BI and Google Data Studio. Expertise in data modeling, migration, performance tuning, and workflow automation. A problem solver with strong analytical and communication skills, committed to delivering scalable and efficient data-driven solutions in fast-paced environments

Job Description

SKILLS

Databases: Oracle PLSQL, MySQL, SQL Server, Redshift, PostgreSQL,Netezza.

Programming & Tools: Python, Unix Shell Scripting, PySpark, Databricks, SQL Developer, PLSQL

Developer, MySQL, Workbench, DBeaver, PyCharm, Databricks, Snaplogic, Snowflake

Cloud & Scheduling: AWS S3, Active Batch, AWS Lambda, AWS EC2

Data Analytics: Power BI, Google Data Studio.

HANDS-ON

Extensive experience in designing, developing, and optimizing database solutions for enterprise applications.

Strong knowledge of data engineering tools and techniques, including data modeling, schema design, and large-scale data processing.

Hands-on expertise in Databricks and PySpark for big data processing, ETL pipeline development, and data transformation.

Expertise in building and managing cloud-based data workflows using AWS services like S3, Redshift, and Lambda.

Proven ability to automate ETL processes, improve system efficiency, and ensure high-performance data processing.

Experience in query optimization, stored procedures, and indexing for database performance improvements.

Strong background in managing data warehousing projects and ensuring seamless data migration.

Skills & Requirements

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