20 days ago
Pune, IndiaSenior
Responsibilities
- Build and maintain scalable ETL pipelines for integrating and processing large volumes of data.
- Integrate data from databases, APIs, external cloud platforms, and internal systems.
- Develop and optimize data architectures, data transformations, databases, and data warehousing solutions.
- Implement data governance, security, monitoring, and logging practices to maintain data quality and reliability.
- Identify and resolve performance bottlenecks in databases and data pipelines.
- Collaborate with data scientists, analysts, business partners, and non-technical stakeholders.
- Manage database performance, scalability, and availability, and coach junior team members.
Requirements
- At least 3 years of experience is required, with 6–8 years of expected experience stated.
- 15 years of full-time education is required.
- Strong experience with AWS services, Python, SQL, data warehousing, and data modeling.
- Experience with database management systems, including SQL, NoSQL, PostgreSQL, and MongoDB.
- Knowledge of Kafka, Hadoop, PySpark, and data warehousing solutions such as Snowflake, Redshift, and BigQuery.
- Experience with DevOps tools including GitLab, Docker, and Kubernetes is preferred.
- Strong analytical, problem-solving, communication, collaboration, and independent-working skills.
Tech Stack
Amazon RedshiftApache HadoopApache KafkaAWSDockerGoogle BigQueryKubernetesMongoDBPostgreSQLPythonSnowflakeSQL
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.