Valuable Consulting | Hiring | Data Engineer Cloud Native Tech Lead – Top US MNC | Bangalore/Bengaluru | BigDataKB.com | 2022-09-29

Job Location: Bangalore/Bengaluru

JOB QUALIFICATION:
โ€ข Experience with Cloud native developer, AWS, GCP
โ€ข Experience with Python, sql, pl/sql, Nifi, spark, Hive, API integration, Pyspark, scala
โ€ข Experience with Airflow or any data orchestration tool, Redshift or any columnar DB
โ€ข Experience working in distributed platforms: Hadoop, Spark, etc

PREFERRED SKILLS:
โ€ข Performed projects in agile methodology
โ€ข Broad experience with AWS cloud native technologies in data space

PROFESSIONAL EXPERTISE:
โ€ข Ability to lead, motivate and resolve conflicts
โ€ข Can see the big picture and has the drive to aim for it
โ€ข Lead projects and teams, agile development methodology
โ€ข Ability to deal with ambiguity, has the willingness to adapt and change course
โ€ข Good critical reasoning skills
โ€ข Good communicator, quick learner & thinker
โ€ข Works well in a team

Job Description:
โ€ข Consult with design leadership and develop the solution based on approved design
โ€ข Lead the overall technical delivery
โ€ข Act as liaison between offshore and Customer
โ€ข Coordinate with business to gather the requirement.

KEY JOB RESPONSIBILITIES:
โ€ข Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
โ€ข Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
โ€ข Create and maintain optimal data pipeline architecture,
โ€ข Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
โ€ข Work with stakeholders, including the Executive, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs.
โ€ข Assemble large, complex data sets that meet functional / non-functional business requirements.
โ€ข Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
โ€ข Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
โ€ข Work with data and analytics experts to strive for greater functionality in our data systems.

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