

• Data Pipeline Development: Design and implement scalable data pipelines using PySpark and Databricks on AWS cloud infrastructure
• ETL/ELT Operations: Extract, transform, and load data from various sources using Python, SQL, and PySpark for batch and streaming data processing
• Databricks Platform Management: Develop and maintain data workflows, notebooks, and clusters in Databricks environment for efficient data processing
• AWS Cloud Services: Utilize AWS services including S3, Glue, EMR, Redshift, Kinesis, and Lambda for comprehensive data solutions
• Data Transformation: Write efficient PySpark scripts and SQL queries to process large-scale datasets and implement complex business logic
• Data Quality & Monitoring: Implement data validation, quality checks, and monitoring solutions to ensure data integrity across pipelines
• Collaboration: Work closely with data scientists, analysts, and other engineering teams to support analytics and machine learning initiatives
• Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and resource utilization in Databricks and AWS environments
Required Qualifications:
• Experience: 3+ years of hands-on experience in data engineering, ETL development, or related field
• PySpark Expertise: Strong proficiency in PySpark for large-scale data processing and transformations
• Python Programming: Solid Python programming skills with experience in data manipulation libraries (pandas etc)
• SQL Proficiency: Advanced SQL skills including complex queries, window functions, and performance optimization
• Databricks Experience: Hands-on experience with Databricks platform, including notebook development, cluster management, and job scheduling
• AWS Cloud Services: Working knowledge of core AWS services (S3, Glue, EMR, Redshift, IAM, Lambda)
• Data Modeling: Understanding of dimensional modeling, data warehousing concepts, and ETL best practices
• Version Control: Experience with Git and collaborative development workflows
Preferred Qualifications:
• Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field
• Advanced AWS: Experience with additional AWS services like Athena, QuickSight, Step Functions, and CloudWatch
• Data Formats: Experience working with various data formats (JSON, Parquet, Avro, Delta Lake)
• Containerization: Basic knowledge of Docker and container orchestration
• Agile Methodology: Experience working in Agile/Scrum development environments
• Business Intelligence Tools: Exposure to BI tools like Tableau, Power BI, or Databricks SQL Analytics
Technical Skills Summary:
Core Technologies:
- PySpark & Spark SQL
- Python (pandas, boto3)
- SQL (PostgreSQL, MySQL, Redshift)
- Databricks (notebooks, clusters, jobs, Delta Lake)
AWS Services:
- S3, Glue, EMR, Redshift
- Lambda, Athena
- IAM, CloudWatch
Development Tools:
- Git/GitHub
- CI/CD pipelines, Docker
- Linux/Unix command line

About Data Axle
About
Data Axle is a product company that offers various data and technology solutions, including software-as-a-service (SaaS) and data-as-a-service (DaaS). These solutions help businesses manage and leverage data for marketing, sales, and business intelligence.
They are data-driven marketing solutions provider that helps clients with clean data, lead generation, strategy development, campaign design, and day-to-day execution needs. It solves the problem of inaccurate and incomplete data, enabling businesses to make informed decisions and drive growth. Data Axle operates in various industries, including healthcare, finance, retail, and technology.
About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global center of excellence in Pune. This center delivers mission
critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.
Data Axle India is recognized as a Great Place to Work!
This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive.
Tech stack




Candid answers by the company
Data Axle is a product company which offers various data and technology solutions, including software-as-a-service (SaaS) and data-as-a-service (DaaS).
They helps clients create a foundation of clean data, find new leads, develop winning strategies and design beautiful campaigns.
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Managing Engineering team members , inclusive of Development and Quality Assurance teams
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Technically hands on and contributing to the creation of a massively scalable, highly available
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Effectively manage multiple projects, timelines and initiatives at the same time.
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Experience with asynchronous, event driven architectures
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Share resume to riya cielhr

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