Senior Data Engineer

Location: Prakāshamnagar

This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes
Design, develop, and maintain data solutions for data generation, collection, and processing
Be a key team member that assists in design and development of the data pipeline
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate and communicate effectively with product teams
Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
Identify and resolve complex data-related challenges
Adhere to best practices for coding, testing, and designing reusable code/component
Explore new tools and technologies that will help to improve ETL platform performance
Participate in sprint planning meetings and provide estimations on technical implementation
What we expect of you
Masters degree and 4 to 6 years of Computer Science, IT or related field experience OR
Bachelors degree and 6 to 8 years of Computer Science, IT or related field experience OR
Diploma and 10 to 12 years of Computer Science, IT or related field experience

Basic Qualifications:

Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, Spark

SQL),Snowflake, workflow orchestration, performance tuning on big data processing
Proficiency in data analysis tools (eg. SQL)
Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores
Excellent problem-solving skills and the ability to work with large, complex datasets

Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
Strong understanding of data modeling, data warehousing, and data integration concepts
Proven ability to optimize query performance on big data platforms

Preferred Qualifications:

Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
Knowledge of Python/R, Databricks, Sage Maker, cloud data platforms
Strong understanding of data governance frameworks, tools, and best practices.
Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
Professional

Certifications:

AWS Certified Data Engineer preferred
Databricks Certificate preferred

Soft Skills:

Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated presentation skills