▷ Only 24h Left: AWS Data Engineer
4 weeks ago
Experience : 8 to 10 years
Location : Pune, Bangalore, Hyderabad, Kochi, Bhubaneshwar, Chennai
What you’ll do
- Design, build, and operationalize large-scale enterprise data solutions in Hadoop, Postgres and Snowflake.- Demonstrate outstanding understanding of AWS cloud services, especially in the data engineering and analytics space.- Analyze, re-architect, and re-platform on-premises big data platforms.- Craft and develop solution designs for data acquisition/ingestion of multifaceted data sets (internal/external), data integrations, and data warehouse/marts.- Collaborate with business partners, product owners, functional specialists, business analysts, IT architecture, and developers to develop solution designs adhering to architecture standards.- Ensure solutions adhere to enterprise data governance and design standards.- Act as a point of contact to resolve architectural, technical, and solution-related challenges from delivery teams for best efficiency.- Design and develop ETL pipelines to ingest data into Hadoop from different data sources (Files, Mainframe, Relational Sources, NoSQL, etc.) using Informatica BDM.- Advocate the importance of data catalogs, data governance, and data quality practices.- Exhibit outstanding problem-solving skills.- Work in an Agile delivery framework to evolve data models and solution designs to deliver value incrementally.- Be a self-starter with experience working in a fast-paced agile development environment.- Provide strong mentoring and coaching, leading by example for junior team members.
Be outcome-focused with strong decision-making and critical thinking skills to challenge the status quo, impacting delivery pace and performance, and striving for efficiency
What you’ll bring
- Education: Bachelor's in computer engineering or computer science.- Experience: Over 5 years of experience in designing solutions for data lakes, data integrations, and data warehouses/marts.- Technical Skills: Proficient with data technologies and tools such as Hadoop, PostgreSQL, and Informatica.- ETL Expertise: Experience with various execution modules in BDM, including Spark, Hive, and Native. Extensive knowledge and experience in ETL using the Informatica product suite.- Cloud Data Lake Design: Familiarity with cloud data lake design, preferably using AWS technologies like S3, EMR, Redshift, and Data Catalog.- Data Governance: Proven experience in implementing data governance principles and practices.- Reporting/Analytics Tools: Understanding of tools such as QlikSense, SAP Business Objects, SAS, and Dataiku.- Agile Methodology: Familiar with Agile software development practices.- Communication Skills: Excellent verbal and written communication abilities.
Insurance Knowledge: Experience with Claim Center and Guidewire will be an asset, with the ability to understand complex business processes driving technical systems
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