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.