Corp Placements | Jobs | Data Engineer | BigDataKB.com | 13-02-22

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Job Location: Mumbai

Great opportunity to be a part of one of India’s leading real estate developers where you will get an opportunity to a valuable contributor to the growth of the organisation. Position open for “Data Engineer”.

Desired Candidate Profile:

  • Experience of relational databases (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. Redshift, BigQuery, Cassandra, etc)
  • Big data experience with Distributed systems such as Hadoop, Hive, Spark, Kafka is preferred.
  • Knowledge of one or more programming languages like Java, Scala, Python.
  • Familiarity with Docker, Kubernetes, Azure Data lake/Blob storage, AWS S3, Google cloud storage, etc.
  • BS/MS in computer science or a related field, with at least 3 years of relevant data engineering exposure
  • Experience using system monitoring tools (e.g. New Relic, Datadog) and automated testing frameworks
  • Familiarity with Cloud ecosystem, e.g. Azure, AWS, Google Cloud
  • Experience in building complex reports, optimizing, testing and deploying them
  • Working knowledge in unix and DB querying skills
  • Expertise in data analysis, validation and mapping / design
  • You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies
  • Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work
  • Interested in working with data, functions, and characteristics of companies
  • Challenge conventional thinking and push design to achieve functionality and beauty
  • Three or more years of experience in data analysis or computer programming.
  • Experience with visualization tools (e.g. Tableau, Power-BI, etc.)
  • Good communication skills to communicate with customers, team members, external data providers, and management.
  • Good skills in data administration, design, and architecture.
  • Good analytical and problem-solving skills. – Ability to work independently and as part of a team

Roles and Responsibilities:

  • Identify and gather the most frequent data consumption use cases for the datasets.
  • A critical question we expect DEs to weigh in is whether existing data models can satisfy (or at least be used as foundation) prior to building new data.
  • Understand the impact of each requirement and use impact to inform prioritisation decisions.
  • Define data governance requirements (data access & privacy PII, retention etc.)
  • Define and document data transformations.
  • Optimise data pipeline design to ensure compute and storage costs are efficient over time.
  • Be data driven and influence data driven decisions.
  • Be factual in communication, use data effectively to tell stories, be critical of decisions not founded on data
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Managing the bulk data in excel and having ability to use PowerBI , Tableau or Quick sense for dashboard generations.
  • Creating python scripts for data filtering.
  • Ability to use MS-Excel for basic data feature functionalities should be able to use Macros , VBA in excel.
  • Developing, maintaining, and managing advanced reporting, analytics, dashboards and other BI solutions.
  • Performing and documenting data analysis, data validation, and data mapping/design.
  • Reviewing and improving existing systems and collaborating with teams to integrate new systems.
  • Data migration from different sources to a single source
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Ensures master data integrity in key systems as well as maintaining the processes to support the data quality.
  • Create BI Reports and data visualizations to solve business problems using Data visualization tools Tableau or other BI solution
  • Develop and maintain reports and dashboards to help the company drive results
  • Perform data analysis, data mapping and data validation activities to ensure accuracy and quality of the data.
  • Work closely with business users to help non-technical employees translate data.
  • Able to analyze multiple and diverse sources of information, preparing reports and dashboards that drive business decisions and improvements.
  • Design, develop, and launch extremely efficient and reliable data pipelines.
  • Solve issues in the existing data pipelines and build their successors.
  • Build modular pipelines to construct features and modeling tables.
  • Maintain data warehouse architecture and relational databases.
  • Monitor incidents by performing root cause analysis and implementing the appropriate action.
  • Creating python/shell scripts for batch applications to migrate data from excel to RDBMS oriented database.
  • Nice to have experience in any of the following Metabase , Snowflake , Redshift and/or BigQuery.

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