Job Location: Navi Mumbai
Roles and Responsibilities
The Data Engineer will play an important role in enabling business for Data Driven Operations and Decision making Agile and Product-centric IT environment.
Responsibilities :
- To design and build solutions to ingest data from variety of sources in to Data and Analytics platforms including cloud platforms like AWS/GCP/Azure
- Build data pipelines that clean, transform, and aggregate data from disparate data sources. Strong analytical skills in working with structured and unstructured datasets
- Develop and optimize scalable data pipelines, architectures & data sets and build new API integrations
- Build processes to support data mining, data transformation, data structures, data modelling, metadata and workload management
- Creating custom software components using languages sych R, Python etc. and tools to merge different systems together and develop a strong analytics infrastructure
- Support Data Scientists to build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Enable delivery of business solutions on analytics platform that includes data security, governance, cataloging, preparation, automated testing, and data quality metrics.
- Automate, optimize, migrate and enhance existing solutions.
- Provide high operational excellence guaranteeing high availability and platform stability
- Collaborate with analytics and business teams to improve data models, increasing data accessibility and fostering data-driven decision making.
Experience
- Total Experience of 4-9 years
- 4 +years experience in data engineering which includes data ingestion, preparation, provisioning, automated testing, and quality checks.
- 3+ Hands-on experience in Big Data cloud platforms like AWS and GCP, Data Lakes, and Data Warehouses
- 3+ years of Big Data and Analytics Technologies. Experience in SQL, writing code in spark engine using python, scala or java Language. Experience in Spark, Scala and Kafka technologies
- Experience in designing, building, and maintaining ETL systems like SAP BW
- Experience in data pipeline and workflow management tools ( such as Azkaban, Luigi, Airflow etc.)
- Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries
- Familiarity with Visualization and Reporting Tools like Tableau, Salesforce Einstein Analytics and QlikSense
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