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Data Engineering Lead

4 months ago

Hyderabad, India Kanerika Software Full time
Role

Thisposition will be engaged in design and deploy of largescale dataprocessing frameworks and pipelines on Data bricks to supportenterprisewide BI and data science initiatives. It will alsoprovide user training and data coaching for effective Data bricksusage.

Locations

WearelocatedatAustin(USA)SingaporeGurugram (India) Ahmedabad (India)andHyderabad(India).

JobLocationHyderabad Indore AhmadabadPuneGurgaon

Weare looking foryou

Areyou passionate aboutleveraging datato drive business insights and innovation Do you thrive in adynamic collaborative environment where you can contribute yourexpertise tobuilding scalable data solutions Data Bricks is seeking a talentedData Engineer to join our team and play a pivotal role in designingand implementing data pipelines and infrastructure for ourcloudbased analyticsplatform.

Requirements

Whatyou will do

CreateMLOps frameworks for model development training deployment andmonitoring.

OptimizeDatabricks clusters for performance scalability and resourceefficiency.

Monitorcluster health performance metrics and resource usage adjustingcluster sizes as needed.

Designefficient data processing systems and pipelines using Data bricksAPIs and other cloudservices.

Actas the Data bricks expert and uphold platformstandards.

Collaboratewith Data and Platform architects on defining the productroadmap.

Buildand maintainscalable infrastructure on cloud platforms such as AWS Azure orGoogle Cloud to support data processing and analyticsworkloads.

Implementdata governance best practices to ensure data quality reliabilityand security throughout the datalifecycle.

Monitorand troubleshoot data pipelines toidentify andresolve performance bottlenecks data integrity issues and otheroperational challenges.

Whatyou llbring

Bachelors degree in computer science or relatedfield.

7years of IT experience including 5 years in Data bricks developmentand administration Spark and cloud platforms (preferablyAzure).

Proficiencyin Databricks admin and development withexpertise inResource and PerformanceManagement.

Expertisein test automation continuous integration Docker GitHub Jenkins andUnix/Linux.

Leadershipin large project initiatives willingness to mentor and support forteam members from different timezones.

Youwill have advantage if you bring

Experiencewith Kafka and Spark and strong in Python andPyspark.

Handsonexperience in machine learning pipelines and scriptinglanguages.

Familiaritywith Java Python SQL/NoSQL databases and Big Datatools.

Passionfor new tech continuous improvement and collaborativeproblemsolving.

Proactivestrong work ethic and teamplayer.

Benefits

1.Culture:

OpenDoor Policy: Encourages open communication and accessibility tomanagement.

OpenOffice Floor Plan: Fosters a collaborative and interactive workenvironment.

FlexibleWorking Hours: Allows employees to have flexibility in their workschedules.

EmployeeReferral Bonus: Rewards employees for referring qualifiedcandidates.

AppraisalProcess Twice a Year: Provides regular performance evaluations andfeedback.

2.Inclusivity and Diversity:

Hiringpractices that promote diversity: Ensures a diverse and inclusiveworkforce.

MandatoryPOSH training: Promotes a safe and respectful workenvironment.

3.Health Insurance and WellnessBenefits:

GMCand Term Insurance: Offers medical coverage and financialprotection.

HealthInsurance: Provides coverage for medicalexpenses.

DisabilityInsurance: Offers financial support in case ofdisability.

What you will do Create ML-Ops frameworks for model development,training, deployment, and monitoring. Optimize Data-bricks clustersfor performance, scalability, and resource efficiency. Monitorcluster health, performance metrics, and resource usage, adjustingcluster sizes as needed. Design efficient data processing systemsand pipelines using Data bricks, APIs, and other cloud services.Act as the Data bricks expert and uphold platform standards.Collaborate with Data and Platform architects on defining theproduct roadmap. Build and maintain scalable infrastructure oncloud platforms such as AWS, Azure, or Google Cloud to support dataprocessing and analytics workloads. Implement data governance bestpractices to ensure data quality, reliability, and securitythroughout the data lifecycle. Monitor and troubleshoot datapipelines to identify and resolve performance bottlenecks, dataintegrity issues, and other operational challenges. What you llbring Bachelor s degree in computer science or related field. 7+years of IT experience, including 5+ years in Data bricksdevelopment and administration, Spark, and cloud platforms(preferably Azure). Proficiency in Databricks admin anddevelopment, with expertise in Resource and Performance Management.Expertise in test automation, continuous integration, Docker,GitHub, Jenkins, and Unix/Linux. Leadership in large projectinitiatives, willingness to mentor, and support for team membersfrom different time zones. You will have advantage if you bring -Experience with Kafka and Spark, and strong in Python and Pyspark.Hands-on experience in machine learning pipelines and scriptinglanguages. Familiarity with Java, Python, SQL/NoSQL databases, andBig Data tools. Passion for new tech, continuous improvement, andcollaborative problem-solving. Proactive, strong work ethic, andteam player.