Data Warehouse Integration/Developer - Urgent Role

We are hiring a confident Data Warehouse Integration/Developer to join our diverse team at Apolis in Delhi, Delhi Growing your career as a Data Warehouse Integration/Developer is a terrific opportunity to develop productive skills. If you are strong in persuasion, decision-making and have the right experience for the job, then apply for the position of Data Warehouse Integration/Developer at Apolis today! Apolis is actively looking to hire a Data Warehouse Developer/Integration role to join our team. This will be a fulltime role and will also have an option to work remote for the right candidate. Data Integration Dev (DWH/ETL) Full-Time / Contractor Must have DWH/ETL, Snaplogic (1 year min.) and SQL. work hours- PST 2-3 hours overlapping- Rest are flexible. The ideal candidate for this position will possess strong technical expertise in Snaplogic Development, Python, SQL, Datawarehouse, and Data Integration Fundamentals. Additionally, candidate should have a solid understanding of... REST/SOAP API development and experience working with databases such as MSSQL, Snowflake, PostgreSQL , HANA etc. Responsibilities: Snaplogic Development : Develop and maintain Snaplogic integration workflows to enable seamless data exchange between various applications and systems. SQL Development: Write and optimize complex SQL queries, stored procedures, and functions to manipulate and transform data effectively. Data Warehouse and Integration Fundamentals : Design, build, and maintain data warehouse structures and ETL processes to ensure data consistency and reliability. REST/SOAP API Development: Develop and maintain APIs for data exchange, enabling smooth communication between different applications and systems. Database Management: Work with various databases, including MSSQL, Snowflake, and HANA, ensuring their optimal performance and integrity. Data Analysis: Perform data analysis and profiling to identify data quality issues, data discrepancies, and opportunities for data improvement. Python Integration: Utilize Python scripting to automate data integration processes, ensuring data accuracy and efficiency. Collaboration: Collaborate with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand data requirements and deliver effective solutions. Documentation: Maintain detailed technical documentation related to data integration processes, system architecture, and development activities. Ability to work independently and as part of a team in a fast-paced environment. Benefits of working as a Data Warehouse Integration/Developer in Delhi, Delhi: Learning opportunities Opportunities to grow Competitive salary,