Lead Data Engineer
2 months ago
About the job
Who We Are
Solera, DealerSocket is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation.
For more information, please visit www.solera.com.
Skills
Python and SQL,
Apache Flink, Kafka, Kafka Connect, Kubernetes, Cassandra,
Reporting Tool (Looker / Tableau), Alteryx
Snowflake, Postgres, MS Server, SQL Server
Dev tools/Test/IDE: CI(Jenkins), Harness, Git/Perforce/BitBucket, Docker, Jira
Location: Dealer socket, Bangalore
What You’ll Do
Solera engineers are trusted with the responsibility of designing and developing solutions that embraces quality and reliability while delivering performance across all platforms. Your role will be to spearhead these efforts and be a leader and mentor for others on the engineering team, Such as below.
Responsible for contributing to an orchestration layer of complex data transformations, refining raw data from source into targeted, valuable data assets for consumption in a governed way.
Partner with Data Scientists, Analysts, other engineers, and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the business model while making a positive impact on our customers' lives
Partnering with Back-end, product, QA, operations, and other technical team leads in design, test, release planning, and coordination.
Mentoring engineers in technologies, patterns, and best practices while leading by example in your areas of expertise.
Diagnosing, characterizing, and addressing performance, scale, and cross-platform stability issues
Leading design reviews and code reviews for components and systems
Prototyping and championing new technology introductions to the platform.
What You’ll Bring
BS degree in Computer Science (or related field) or equivalent experience
9-12 years of strong development and technical leadership experience
Experience building data pipelines with data from event streams, NoSQL, APIs etc. using distributed data frameworks.
Experience in batch processing and stream processing
Experience designing and delivering data integrations, data lakes and data warehouses.
Experience with different aspects of data systems including database design, data modeling, performance optimization, SQL etc.
Experience in Kafka, Spark Streaming, AWS and Docker is a huge plus.
Coding experience with Scala/Python or similar language required.
Communicate and document solutions and design decisions.
Strong communication skills (able to explain concepts to non-technical audiences as well as peers)
Self-starter who is highly organized, communicative, quick learner, and team oriented.
PS: Candidates who can join immediately will be highly preferred.
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