Data Pipeline Development: Design, implement, and maintain scalable ETL pipelines to process large datasets efficiently.
Data Modeling & Warehousing: Create and optimize data models and structures to support business analytics and reporting needs.
Automation & Monitoring: Develop automated solutions for data integration and establish monitoring systems to ensure data quality and reliability.
Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver actionable insights.
Tool & Technology Utilization: Utilize a range of tools and technologies, such as SQL, Python, AWS services (e.g., S3, Glue, Redshift, Lambda), and big data frameworks (e.g., Spark, Hive), to manage and process data effectively.
Experience: 1–3+ years in data engineering or related fields.
Technical Skills: Proficiency in SQL and at least one scripting language (e.g., Python, Scala). Experience with data modeling, ETL processes, and data warehousing.
Big Data Technologies: Familiarity with tools like Hadoop, Spark, Hive, and AWS services such as Redshift, S3, and Glue.
Problem-Solving: Ability to analyze complex data issues and implement effective solutions.
Communication: Strong verbal and written communication skills to articulate technical concepts to non-technical stakeholders.
Amazon's Data Engineer roles are available in various locations, including India. Specific responsibilities may vary depending on the team and region. For instance:
India Data Engineering and Analytics (IDEA): Focuses on building and maintaining data infrastructure for Amazon India, aiming to simplify and accelerate data-driven decision-making.
AWS Fintech: Works on developing the financial infrastructure that powers the future of cloud computing, involving complex data architectures and large-scale data pipelines.
Medical, Dental, and Vision Coverage: Comprehensive plans for employees and eligible family members, including domestic partners and children.
Mental Health Support: Access to Amazon's Employee Assistance Program (EAP), offering confidential support for mental health, financial management, legal counsel, and life coaching.
Paid Time Off (PTO): Includes annual, sick, and casual leaves, along with national holidays and optional offs.
Parental Leave: Maternity leave of 12 weeks, paternity leave of up to 7 days, and bereavement leave of up to 7 days.
Competitive Salary: Data Engineers at Amazon in India typically earn between ₹14.0 Lakhs and ₹37.7 Lakhs per year, with top performers earning over ₹59.9 Lakhs annually.
Bonuses & Stock Options: Incentives include performance-based bonuses and Restricted Stock Units (RSUs), contributing to long-term financial growth.
Retirement Plans: Access to 401(k) plans (in applicable regions), with company matching contributions to support retirement savings.
Learning & Growth Opportunities: Amazon fosters a culture of learning, offering resources for skill development and career advancement.
Tuition Assistance: Eligibility for programs like Amazon's upskilling initiatives, which may include tuition reimbursement for relevant courses.
Flexible Working Hours: Depending on the role and location, Amazon offers flexible working hours to support work-life balance.
Remote Work Options: Availability of remote or hybrid work arrangements, subject to team and role requirements.
Amazon started as an online bookstore and grew into the world’s largest e-commerce platform. Today, it operates across multiple sectors: E-commerce: Online marketplace selling everything from books to electronics, clothing, groceries, etc.... Read More