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Senior Data Engineer

Senior Data Engineer

SG AnalyticsThane, IN
1 day ago
Job description

The Data Engineer should have strong data infrastructure and data architecture skills, a proven track record of administration for data engineering teams, strong operational skills to drive efficiency and speed, strong project management skills, and a core value base for how analytics can proactively improve organizations. You will be part of the Data & Analytics team and will partner closely with a team of data scientists, business analysts & business intelligence leading a cloud-based strategy for our clients.

About the Role

You'll work on our Azure based data pipeline projects with a focus on collecting, parsing, managing, analysing and visualizing large sets of data to turn information into insights using multiple technology platforms. Therefore, this role requires an understanding of how a secure data cloud environment is architected to gain real insights faster, with less friction and complexity. Ideal candidate should be a champion of building a distributed and scalable architecture that is metadata driven. You're also a detail-oriented person that believes data quality should never be sacrificed.

Mandatory Skills : Python, SQL, Snowflake, Cloud

Experience - 5 to 7 yrs

Location - Bangalore

Work Mode - Hybrid

Responsibilities :

  • Master the use of technology & modern tools to optimize solutions and continuous process improvements
  • Facilitate team to design, build and test end to end data pipeline including data ingestion (streaming, events and batch), data integration, data curation
  • Help build out and support an Enterprise Data Marketplace
  • Administer the Big data platform on the cloud
  • Implement automation of jobs and testing
  • Optimize the data pipeline to support ML workloads and use cases
  • Support mission critical applications and near real time data needs from the data platform
  • Build and support reusable framework to ingest, integration and provision data
  • Capture and publish metadata and new data to subscribed users
  • Work collaboratively with product managers, data scientists as well as business partners and actively participate in design thinking session
  • Motivate, coach, and serve as a role model and mentor for other development team associates / members that leverage the platform
  • Establish relationship with key business lines, Infosec and infrastructure team
  • Ensure security is integrated into all cloud services.
  • Build, monitor, and manage the cloud infrastructure.
  • Monitor and optimize cloud workloads.
  • Review current and future Azure implementations and suggest ways to improve and standardize the cloud offerings.

Qualifications

  • Bachelor’s degree in Computer Science, Physics, Mathematics, Statistics or other Engineering disciplines
  • Required Skills :

  • 5+ years' experience as Data engineer
  • Experience with big data tools : Spark, Databricks
  • Experience with building relational SQL Data Warehouses
  • Good Hands on experience with data pipeline and workflow management tools : Azure Data Factory, SSIS
  • Experience with object-oriented / object function scripting languages : Python, C#, Scala, VBA, etc.
  • Experience with systems scripting languages : Batch Scripts, Powershell
  • Experience with Git / GitHub and automating builds
  • Strong interpersonal, verbal and written communication skills and ability to present complex technical / analytical concepts to executive audience
  • Strong business mindset with customer obsession; ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery
  • Preferred Skills :

  • Experience building distributed architecture and IoT in a Dev / Ops environment
  • Experience in both Agile and Waterfall methodologies
  • Experience building and optimizing claims data pipelines, architectures / data models and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience with the Agile workflow, Test Driven Development, and continuous improvement / continuous deployment.
  • Strong analytic skills related to working with structured and unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management using Azure Automation, Azure Function Apps, and Azure Data Factory.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of Azure Automation, Azure Data Factory, and highly scalable 'big data' data stores such as Azure Blob Storage, Azure Data Lake
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Excellent planning, prioritization, problem solving skills.
  • Experience with any of the following scripting languages, R, JSON, Parquet, JavaScript, Regex, PowerShell, shell scripting.
  • Experience with Data Bricks, HDInsight, Python.
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