Data Engineer - SQL

Job description

**We are looking forward to hire SQL Professionals in the following areas :** **:** **Experience required:** 4-6 years We re looking for candidates with - Technical depth and hands-on experience on SQL, Python, PySpark, Databricks, AWS, S3, and Redshift - Ability to clearly communicate their work and problem-solving approach - Knowledge of pharma domain is a plus Responsibilities - Develop complex solutions for clients using programming languages, ETL service platforms, Databricks, Python, PySpark, Spark, Redshift, SQL, cloud technologies, and other relevant tools. - Take complete ownership of activities and responsibilities across all phases of the project lifecycle, effectively addressing business problems across multiple client engagements. - Collaborate with team members to leverage expertise and facilitate seamless transitions throughout the project lifecycle. - Exhibit flexibility in addressing new and challenging problems, demonstrating strong task management skills. - Assist in creating project deliverables such as business case development, solution vision and design, user requirements, prototypes, technical architecture (if needed), test cases, and operations management. - Maintain transparency in driving assigned tasks to completion, providing accurate status reports to stakeholders. - Adopt a consulting mindset in problem-solving and innovation, leveraging technical and business knowledge/expertise while collaborating across teams. / - Support senior team members and delivery leads in project management responsibilities to ensure effective project execution. Experience - Up to 2 years of relevant experience in small to medium-scale technology solution delivery engagements, with proven success in analytics projects that drive business insights. - Hands-on experience with ETL technologies such as Databricks, Redshift, Hadoop, Spark, PySpark, Informatica, Talend, SSIS, or similar tools. - Proficiency in data warehousing and SQL for effective data management and analysis. - Familiarity with cloud platforms (e. g. , AWS, Azure, GCP) is a plus. - Demonstrated experience in applying analytics techniques to inform decision-making and optimize project outcomes. " **Our Hyperlearning workplace is grounded upon four principles** - Flexible work arrangements, Free spirit, and emotional positivity - Agile self-determination, trust, transparency, and open collaboration - All Support needed for the realization of business goals, - Stable employment with a great atmosphere and ethical corporate culture