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Tech Lead

HoonarTek
Mumbai

Posted:10 hours ago

Job Description

Mumbai

About Us

We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.
Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.
Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.
At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity


How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.
We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Description

Hands on Knowledge of Databricks - Delta Lake, Unity Catalog, Lakeflow, Lakebase, Databricks Apps, Workflows, job

scheduling, ETL/ ELT pipeline orchestration and more

Strong understanding of Databricks architecture (control plane vs data plane, workspace model)

Experience with Cluster sizing, autoscaling, and workload-based optimization, Cost estimation and performance tuning

and FinOps

Building CI/CD pipelines and Declarative Automation Bundle (DAB) implementation

Exposure to AI/ML/LLM integrations within Databricks ecosystem (MLflow, external LLM APIs)

Strong understanding of cloud landing zone concepts (subscription design, governance, policies)

Understanding of enterprise security architecture for data platforms

Cloud platforms: Azure / AWS / GCP

Data modeling: Dimensional, Data Vault

Data warehousing

API and data integration patterns

Skills Required

Data Integration Data Analytics Data Visualization Data Engineering AB Initio BIG Data Business Intelligence Agile ETL Cost Estimation Performance Tuning Ci/cd Pipelines

Job Type

Full Time

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