Data Engineer - Python,ETL

Job Description Key Responsibilities: Collaborate with internal teams and external stakeholders to design and implement high-quality technology solutions for critical business challenges. Develop a deep understanding of business problems and translate them into technical designs. Lead project modules and workstreams, participating hands-on in the implementation process. Work closely with technical architects to validate technical designs and implementation approaches. Apply best practices and development methodologies to ensure a high-quality project delivery experience. Support project planning, staffing, people management, and risk mitigation. Manage and mentor diverse teams, providing guidance and fostering skill development for junior members. Oversee task planning and allocation, ensuring timely delivery of high-quality project results. Prepare key project deliverables, including solution design, user requirements, prototypes, technical architecture, test plans, deployment strategies, and operations strategy. Qualifications and Skills: 1 to 3+ years of professional experience delivering small to medium-scale technology solutions. Proven ability to lead project teams, manage end-to-end activities, meet milestones, and mentor team members. Strong understanding of RDBMS concepts, SQL, data warehousing, and reporting frameworks. Experience with big data technologies, data management, data analytics, and cloud platforms. Proficiency in Python and familiarity with ETL tools. Strong analytical and problem-solving skills, with expertise in algorithms and data structures. Experience with cloud services such as AWS, Snowflake, and Databricks is a plus.