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

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Job Location: Bangalore/Bengaluru

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

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

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

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

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

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