SG Analytics
3 weeks ago
About Us :
SG Analytics, a Great Place to Work (GPTW) certified company, is one of the leading research and analytics firms to offer datacentric research and contextual analytics services to companies across BFSI, Media & Entertainment, Technology & Healthcare sectors including Fortune 500 companies.
With a presence in the US, the UK, Switzerland, and India (Pune, Hyderabad, Bangalore), SG Analytics has been consistently meeting and exceeding customer expectations by its knowledge-based ecosystem and impact-oriented solution.
Company size : 1500+ employees.
Headquarters : Pune
Founded : 2007
Specialties : ESG Consulting, Equity & Fixed Income Research, Corporate Finance & Valuation, Market Research, Market Intelligence, Data Engineering, Data Governance & Management, Data Science, AI/ML, Customer Analytics, Marketing Analytics, Sales Analytics, Competitive Intelligence, Intelligent Automation, RPA, Quality Engineering, and Business Consulting.
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. You'll work on our cloud based data pipeline projects with a focus on collecting, parsing, managing, analyzing 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. You'll need to be an innovative forward-thinker who will help lead end-to-end execution of data engineering initiatives and contribute directly to existing and emerging business strategies and goals.
Creativity, Attention to detail and ability to work in a collaborative team environment are essential. The Data Engineer will work closely with the leadership teams to decide on needed infrastructure architecture and software design needs and act according to the decisions.
Responsibilities :
- 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.
Required Skills :
- Bachelor's degree in Computer Science, Physics, Mathematics, Statistics or other Engineering disciplines
- 4+ years' experience in cloud, big data tools: Spark, Databricks, building relational SQL Data Warehouses, 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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