Software testing engineer walk in Jobs

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Engineer, Applications Development - SAP MDG
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How you will create an impact: Able to comprehend business needs and concerns and integrate that understanding into design and implementation.
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O Ensure alignment between business requirements and technical solution design. O Minimum 3 end-to-end SAP S/4HANA implementation projects in leadership role.
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Lead Data Engineer (Databricks)

Rearc
Bengaluru, Karnataka

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Job details

Full-time
1 day ago

Qualifications

CI/CD
Azure
Spark
AWS
Scala
Continuous integration
Unity
ETL
S3
Redshift
Leadership
Communication skills
Data warehouse
Python

Full job description

As a Lead Data Engineer at Rearc, you'll be the technical anchor on complex, client-facing data engineering engagements, someone who can sit across the table from a client's data leadership team, understand their most difficult data challenges, and then go head-down and build a solution. You'll bring deep, hands-on expertise with Databricks and the broader modern data stack, and you'll set the technical standard for how we design, build, and deliver data platforms that actually work in production. You'll write code, build pipelines, and architect solutions side-by-side with your team and your clients.

What You Bring

8+ years of hands-on data engineering experience, designing and delivering production-grade data platforms
Expert-level in Apache Spark, including runtime internals, performance tuning, and optimisation, you understand what's happening under the hood and use that knowledge to build pipelines that perform at scale.
You write clean, production-quality code in Python, with Scala experience a strong plus for deeper Spark and performance-critical work.
You've built and productionalized solutions on the platform, including Delta Lake architectures, Unity Catalog governance, and Databricks Workflows. Databricks certification is a strong plus.
You have real, working experience across at least two major cloud platforms (AWS, Azure, GCP) with genuine depth in at least one, including cloud-native services such as AWS Redshift/Glue/S3, Azure Synapse/Data Factory/ADLS, or Google BigQuery/Dataflow/GCS.
You've led data engineering projects end-to-end in a client-facing or consulting context, managing technical scope, navigating stakeholder expectations, and delivering against timelines without cutting corners.
You bring a DataOps mindset: CI/CD for data pipelines, automated testing, observability, and infrastructure-as-code are standard practice for you, not afterthoughts.
Your experience spans ETL/ELT design, data warehousing, lakehouse architecture, and data modelling, and you know when to apply each approach.
Your communication skills allow you to engage technical and non-technical stakeholders equally well, from a client's CTO to a junior engineer on your team.

What You'll Do
As a Lead Data Engineer at Rearc, you'll serve as the hands-on technical lead across complex, client-facing data engineering engagements. You’ll own the architecture and the build.

Lead Client Data Engagements: Serve as the senior technical lead on client projects. Own the architecture, guide the build, manage delivery risk, and ensure the solution shipped matches what was promised.
Build and Productionize Data Solutions: Design and implement scalable, reliable data pipelines and lakehouse architectures on Databricks and cloud platforms. You're hands-on keyboard, you write code, review code, and set the engineering standard for the engagement.
Architect for Scale and Reliability: Translate complex client requirements into robust technical designs, reference architectures, and data models built to last in production.
Drive Technical Delivery: Manage technical scope and timelines, identify blockers early, and partner with project managers and client stakeholders to keep engagements on track.
Mentor Data Engineers: Coach junior and mid-level engineers through hands-on pairing, code review, and direct feedback, raising the floor for everyone around you.
Promote Knowledge Sharing: Contribute technical blogs, reference architectures, and internal guides that reflect hard-won lessons from real client work.
Champion DataOps Practices: Establish and enforce modern data engineering standards across engagements, automated testing, pipeline observability, version control, CI/CD, and documentation.

Some More About Us
At Rearc, we're committed to empowering engineers to build awesome products and experiences. Success as a business hinges on our people's ability to think freely, challenge the status quo, and speak up about alternative problem-solving approaches. If you're an engineer driven by the desire to solve problems and make a difference, you're in the right place!

Our approach is simple — empower engineers with the best tools possible to make
an impact within their industry.

We're on the lookout for engineers who thrive on ownership and freedom, possessing not just technical prowess, but also exceptional leadership skills. Our ideal candidates are hands-on-keyboard leaders who don't just talk the talk but also walk the walk, designing and building solutions that push the boundaries of cloud computing.

Founded in 2016, we pride ourselves on fostering an environment where creativity flourishes, bureaucracy is non-existent, and individuals are encouraged to challenge the status quo. We're not just a company; we're a community of problem-solvers dedicated to improving the lives of fellow software engineers.
Our commitment is simple - finding the right fit for our team and cultivating a desire to make things better. If you're a cloud professional intrigued by our problem space and eager to make a difference, you've come to the right place. Join us, and let's solve problems together!

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