Design, build, and maintain scalable ELT/data pipelines and connectors using Airflow, Python, and PySpark. Implement DataOps and CI/CD for data workflows, monitor and troubleshoot pipelines, validate data quality, collaborate with cross-functional teams, and document data processes and governance.
Data Engineer :
Job Description :
- Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python and PySpark to ensure the efficient and reliable delivery of data.
- Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats .
- Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical solutions.
- Implement DataOps principles and best practices to ensure robust data operations and efficient data delivery.
- Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes.
- Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, transformation, and loading.
- Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data.
- Stay up-to-date with emerging technologies and best practices in data engineering.
- Document data workflows, processes, and technical specifications to facilitate knowledge sharing and ensure data governance.
Responsibilities:
- Bachelor's degree in Computer Science, Engineering, or a related field
- 8 - 10 years experience in data engineering, ELT development, and data modeling.
- Proficiency in using Apache Airflow and Spark for data transformation, data integration, and data management.
- Experience implementing workflow orchestration using tools like Apache Airflow, SSIS or similar platforms.
- Demonstrated experience in developing custom connectors for data ingestion from various sources.
- Strong understanding of SQL and database concepts, with the ability to write efficient queries and optimize performance.
- Experience implementing DataOps principles and practices, including data CI/CD pipelines.
- Excellent problem-solving and troubleshooting skills, with a strong attention to detail.
- Effective communication and collaboration abilities, with a proven track record of working in cross-functional teams.
- Familiarity with data visualization tools Apache SuperSet and dashboard development.
- Understanding of distributed systems and working with large-scale datasets.
- Familiarity with data governance frameworks and practices.
- Knowledge of data streaming and real-time data processing technologies (e.g., Apache Kafka).
- Strong understanding of software development principles and practices, including version control (e.g., Git) and code review processes.
- Experience with Agile development methodologies and working in cross-functional Agile teams.
- Ability to adapt quickly to changing priorities and work effectively in a fast-paced environment.
- Excellent analytical and problem-solving skills, with a keen attention to detail.
- Strong written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
Required Skills –
DevOps (Heavy), Python, Pyspark, Sql,Airflow, Trino, Hive, Snowflake, Agile Scrum
Good to have–
Linux,Openshift, Kubernentes, Superset
Similar Jobs
Agency • Information Technology
Design, build, and maintain ELT/data pipelines and workflow orchestration using Airflow, Python, and PySpark. Develop custom connectors to ingest diverse data, implement DataOps and data CI/CD pipelines, monitor and troubleshoot pipelines, validate data quality, collaborate with cross-functional teams, document workflows, and work with large-scale distributed datasets and visualization tools.
Top Skills:
Apache AirflowApache KafkaSparkApache SupersetGitHiveKubernetesLinuxOpenshiftPysparkPythonSnowflakeSQLSsisTrino
Agency • Information Technology
Design, build, and maintain ELT/data pipelines and workflow orchestration using Airflow, Python, and PySpark. Develop custom connectors, implement DataOps and CI/CD for data, monitor and validate data flows, collaborate with cross-functional teams, and document data workflows and governance.
Top Skills:
Apache AirflowApache KafkaSparkApache SupersetGitHiveKubernetesLinuxOpenshiftPysparkPythonSnowflakeSQLSsisTrino
Agency • Information Technology
Design, build, and maintain scalable data pipelines and ETL processes using Python and PySpark. Orchestrate workflows with Airflow, query data with Trino and Hive, and write efficient SQL. Collaborate in Agile/Scrum teams to deliver data solutions and optimize data platform performance.
Top Skills:
Agile ScrumAirflowHivePysparkPythonSQLTrino
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.
