Join Accenture, a leading global consulting firm that is at the forefront of innovation, helping businesses unlock their full potential through cutting-edge technology and data-driven strategies. With a strong presence in over 50 countries and a focus on empowering businesses across industries, we deliver tailored solutions that drive growth, enhance efficiency, and foster digital transformation. Our team thrives on collaboration, innovation, and a passion for solving complex challenges with data and technology.
Key Responsibilities:
As a Data Engineer, you will:
* Design, develop, and maintain scalable and efficient data pipelines to support business insights and analytics.
* Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver robust solutions.
* Build and optimize data architectures, ensuring high performance, reliability, and scalability.
* Implement and manage ETL/ELT processes to integrate data from various sources into centralized systems.
* Ensure data security, quality, and governance in compliance with best practices and regulatory requirements.
* Troubleshoot and resolve data-related issues and provide ongoing support to analytics and business teams.
Key Technical Skills:
To thrive in this role, you should bring:
* Proficiency in Programming Languages: Python, Java, or Scala for data manipulation and pipeline development.
* Data Pipeline Expertise: Hands-on experience with ETL/ELT tools and frameworks such as Apache Airflow, Talend, or Informatica.
* Cloud Platforms: Knowledge of cloud services such as AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse), or Google Cloud (BigQuery, Dataflow).
* Data Warehousing: Experience with modern data warehousing solutions like Snowflake, Databricks, or similar.
* Database Management: Strong SQL skills and familiarity with both relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra).
* Big Data Technologies: Familiarity with Apache Spark, Hadoop, or Kafka is a plus.
* Version Control and CI/CD: Experience with Git and CI/CD pipelines for automated deployment and testing.
* Problem Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues effectively.
Preferred Qualifications:
* Bachelor’s degree in Computer Science, Engineering, or a related field.
* 3+ years of experience in data engineering or a similar role.
* Knowledge of data visualization tools (e.g., Tableau, Power BI) is advantageous.
* Familiarity with machine learning frameworks and tools is a plus.
Why Join Us?
We offer a dynamic, inclusive, and collaborative work environment that values your growth and well-being. As a part of our team, you will enjoy:
* Competitive Salary Package: Attractive remuneration that rewards your expertise.
* Flexible Work Arrangements: Options for remote work, hybrid models, and a strong work-life balance.
* Learning and Development: Access to world-class training programs, certifications, and mentorship opportunities to advance your skills.
* Career Growth: Defined career pathways with opportunities to work on impactful projects for global clients.
* Health and Wellness: Comprehensive health insurance, wellness programs, and mental health support.
* Paid Time Off: Generous leave policies, including parental leave and additional paid holidays.
* Diversity and Inclusion: A commitment to fostering a diverse and inclusive workplace where everyone feels valued and empowered.
How to Apply:
If you are passionate about leveraging data to drive innovation and are eager to be part of a global leader in consulting, apply today! Join us in shaping the future of businesses through the power of data and technology.
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