Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Apache Spark, Java, Google Dataproc
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will be responsible for the design and development of data solutions, collaborating with multiple teams, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Design, develop, and maintain data solutions for data generation, collection, and processing. - Create data pipelines to migrate and deploy data across systems. - Ensure data quality by implementing ETL processes. - Collaborate with multiple teams to provide solutions to data-related problems. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark, Java, Google Dataproc. - Good To Have Skills: Experience with Apache Airflow. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. • Strong experience with multiple database models ( SQL, NoSQL, OLTP and OLAP) • Strong experience with Data Streaming Architecture ( Kafka, Spark, Airflow) • Strong knowledge of cloud data platforms and technologies such as GCS, BigQuery, Cloud Composer, Dataproc and other cloud-native offerings • Knowledge of Infrastructure as Code (IaC) and associated tools (Terraform, ansible etc) • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series) • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP) • Comfortable communicating with various stakeholders (technical and non-technical) • GCP Data Engineer Certification is a nice to have Additional Information: - The candidate should have a minimum of 5 years of experience in Apache Spark. - This position is based in Bengaluru. - A 15 years full time education is required.

15 years full time education

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