We are looking to hire a senior PL SQL Data Engineer who comes with an exposure in building complex data pipelines.

Key skills - SQL, PL/SQL and ETL is required

Key Responsibilities :

Design, build and optimize data integration workflows, ensuring the reliability, performance, and scalability of data pipelines.
Design, build, and maintain scalable data pipelines and ETL processes using Mulesoft, Heroku, Airflow, Snowflake, Spark technologies.
High level of personal commitment to each task, a can-do attitude, and a drive to deliver.
Work closely with business analysts, quality assurance, and project management resources throughout the delivery of solutions.
Monitor and troubleshoot data pipelines to identify and resolve any issues or bottlenecks in data processing.
Ensure data quality and integrity by implementing appropriate data validation and cleansing techniques.
Implement and maintain data security and privacy measures to protect sensitive information
Proactively research and develop new technologies, services, solutions, etc.
Strong communication skills to be able to communicate at all levels.
Should have a proactive approach to problem-solving.
Able to contribute as a team and deliver individually as and when needed.
Advanced debugging and troubleshoot issues including interacting with technology vendors
Know the latest technologies and act as driver of innovation for the Enterprise.
Adhere to all standard agile process
Follow release management code deployment process to migrate the code changes
Attend the daily scrum calls and working in Global model
Strong problem-solving and analytical skills.
Superb communication and collaboration abilities.

Required Skills -

5+ years of experience in SQL, PL/SQL and ETL is required
Experience with Relational databases like PostgreSQL.
Good to have - Experience with data visualization tools like Tableau, Power BI, or similar.
Good to have - Experience with the Salesforce.com platform and related technologies
Proficiency in data manipulation and analysis using SQL.
Good to have Airflow, Tableau
Agile Methodologies and well versed with GUS/JIRA
Good communication skills to be able to communicate at all levels.
Should have a proactive approach to problem-solving.
Follow release management CI/CD code deployment process to migrate the code changes
Collaborate with multi-functional teams including data analysts, and software engineers to understand data requirements and implement data solutions that meet business needs.
Understanding of data modeling concepts and database design principles.

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