- As an experienced data engineer of expertise in data engineering technologies such as PySpark, Python, Scala, Java, SQL, Databricks, RESTful Web Services, and Microservices Architecture, your responsibilities will include:
- Collaborate with cross-functional teams to develop and implement data solutions.
- Assist in managing architecture, platforms, and data solutions.
- Create, maintain, and optimize data pipelines using PySpark, Python, Scala, Java, SQL, Databricks, and AWS.
- Work within the Databricks platform to develop and execute data processes.
- Contribute to the creation and maintenance of ETL processes using Python and PySpark for seamless data movement and transformation.
- Identify and resolve data issues within the data pipeline and enterprise data warehouse.
- A minimum of 2-3 years of experience in data engineering.
- Proficient in designing and implementing data pipelines to ingest, transform, and move data from various sources (databases, APIs, sensors) to analytics platforms.
- Strong working knowledge of Python and good understanding of PySpark/Scala/Java.
- Experience in developing and maintaining data infrastructure using cloud platforms like AWS, Azure, or Google Cloud Platform.
- Sound knowledge of DevOps on CI/CD pipeline automation.
- Proficient in troubleshooting data pipeline issues and identifying potential data anomalies.
- Good understanding of data engineering concepts and best practices.
- Strong knowledge of database management systems (SQL/NoSQL)
- Familiar with Agile methodology.
- People-oriented with effective interpersonal skills.
- Eagerness to learn new concepts and apply acquired skills.
- Adaptability to tackle new challenges.
- Enthusiastic and passionate about the work.
- Good communication skills.
- The ability to articulate and present learned concepts effectively.
- Having positive attitude and flexible to work in any project.
- Strong problem-solving skills and meticulous attention to detail Good To Have
- Utilize batch and streaming processing techniques to ensure efficient and timely data delivery.
- Knowledge of microservices.
- Automation of data workflows and tasks to minimize manual intervention and ensure data consistency.
- Design and implementation of data quality checks and monitoring systems to ensure data integrity and accuracy.
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Understanding of ETL processes and data modeling.
- Knowledge of production log analysis like Splunk
- A 4-year bachelor's degree (Computer Science, Information Systems, or a related functional field) or an equivalent combination of education or higher qualifications.
- In addition to competitive salaries and benefits packages, Nisum India offers its employees some unique and fun extras:
- Continuous Learning - Year-round training sessions are offered as part of skill enhancement certifications sponsored by the company on an as need basis. We support our team to excel in their field.
- Parental Medical Insurance - Nisum believes our team is the heart of our business and we want to make sure to take care of the heart of theirs. We offer opt-in parental medical insurance in addition to our medical benefits.
- Activities - From the Nisum Premier League's cricket tournaments to hosted Hack-a-thon, Nisum employees can participate in a variety of team building activities such as skits, dances performance in addition to festival celebrations.
- Free Meals - Free snacks and dinner is provided on a daily basis, in addition to subsidized lunch.
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Data Engineer - hyderabad, India - Nisum
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