Zensar Technologies

Data engineer with data bricks

Zensar Technologies  •  Republic of India (Onsite)  •  16 hours ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Data Engineer With Data Bricks- GCH -

Data Bricks

  • Design & Build Data Pipelines Develop, optimize, and manage large-scale data engineering workflows using Databricks and Apache Spark, ensuring scalable and efficient data processing.

  • Data Lake & Delta Lake Build and manage lake houses/data lakes using Databricks Delta Lake to ensure high-performance, scalable, and reliable storage for structured and unstructured data.

  • Collaboration with Cross-Functional Teams Work with data scientists, analysts, and business stakeholders to understand data needs, provide insights, and deliver solutions using Databricks.

  • Performance Tuning & Optimization Tune and optimize Spark-based jobs and other Databricks workflows for high performance and low latency across large datasets.

  • Data Integration Integrate and orchestrate data from multiple sources (e.g., databases, APIs, cloud services) into the Databricks environment, ensuring data quality and consistency.

  • Cloud Infrastructure Management Leverage cloud platforms (e.g., AWS, Azure, GCP) for efficient use of Databricks clusters, ensuring cost optimization and scalability.

  • Machine Learning Pipeline Development Collaborate with data scientists to design and implement end-to-end machine learning pipelines, utilizing MLflow for model tracking, versioning, and deployment.

  • Model Deployment & Monitoring Collaborate on model deployment strategies within Databricks, using MLflow for tracking, managing experiments, and deploying models into production environments.

  • Automation & CI/CD Implement continuous integration and continuous delivery (CI/CD) pipelines to automate the deployment of data pipelines and machine learning models.

Data Engineer

  • Assist in designing and implementing scalable and robust processes for ingesting and transforming complex datasets.
  • Designs, develops, constructs, maintains and supports data pipelines for ETL from a multitude of sources.
  • Creates blueprints for data management systems to centralize, protect, and maintain data sources.
  • Focused on data stewardship and curation, the data engineer enables the data scientist to run their models and analyses to achieve the desired business outcomes
  • Ingest large, complex data sets that meet functional and non-functional requirements.
  • Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions.
  • Design and build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data.
  • Supports the organisation’s cloud strategy and aligns to the data architecture and governance including the implementation of these data governance practices.
  • Engineer data in the appropriate formats for downstream customers, risk and product analytics or enterprise applications.
  • Assist in identifying, designing and implementing robust process improvement activities to drive efficiency and automation for greater scalability. This includes looking at new solutions and new ways of working and being on the forefront of emerging technologies.
  • Work with various stakeholders across the organization to understand data requirements and apply technical knowledge of data management to solve key business problems.
  • Provide support in the operational environment with all relevant support teams for data services.
  • Provide input into the management of demand across the various data streams and use cases.
  • Create and maintain functional requirements and system specifications in support of data architecture and detailed design specifications for current and future designs.
  • Support test and deployment of new services and features.
  • Provides technical leadership to junior data engineers in the team

MINIMUM QUALIFICATIONS/EXPERIENCE (REQUIRED FOR THE JOB)

  • Matric, with a degree in Computer Science, Business Informatics, Mathematics, Statistics, Physics or Engineering.
  • 6+ years of data engineering experience 
  • 6+ years of experience with any data warehouse technical architectures, ETL/ELT, and reporting/analytics tools including , but not limited to , any of the following combinations (1) SSIS ,SSRS or something similar (2) ETL Frameworks, (3) Spark (4) AWS data builds
  • The candidate having DBA ability and knowledge across at least 2 platforms (example: TSQL, SAS, PSQL, IBM VSAM, DynamoDB and DB2) will also be beneficial.
  • Should be at least at a proficient level in at least one of Python or Java
  • Should be Proficient in bash SQL
  • Some experience with R, AWS, XML, json, cron will be beneficial
  • Experience with designing and implementing Cloud (AWS) solutions including use of APIs available.
  • Some experience with Dev/OPS architecture, implementation and operation would be advantageous.
  • Knowledge of Engineering and Operational Excellence using standard methodologies. Best practices in software engineering, data management, data storage, data computing and distributed systems to solve business problems with data.
  • Some experience in applying SAFe/Scrum/Kanban methodologies.
  • Knowledge and understanding of business process management lifecycle which covers the design, modelling, execution, monitoring, and optimization as well as business process re-engineering.
  • Good problem solving skills: The ability to exercise judgment in solving technical, operational, and organizational challenges, to identify issues proactively, to present solutions and options leading to resolution
Zensar Technologies

About Zensar Technologies

Zensar stands out as a premier technology consulting and services company, embracing an ‘experience-led everything’ philosophy. We are creators, thinkers, and problem solvers passionate about designing digital experiences that are engineered into scale-ready products, services, and solutions to deliver superior engagement to high-growth companies. This full lifecycle capability – from experience to engineering to engagement – is what makes us unique. This integrated approach also means that we harness the power of technology, creativity, and insight to deliver impact — ensuring our work focuses not just on technology but also on the people who use it.

Part of the $4.4 billion RPG Group, Zensar is headquartered in Pune, India. Our 10,000+ employees work across 30+ locations worldwide, including Seattle, Princeton, Cape Town, London, Singapore, and Mexico City. As an organization, we are diverse and multi-dimensional and unite across geographies and skill sets to deliver products and services that are value-driven, environmentally conscious, and human-centered.

To know more, visit us at www.zensar.com.

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Pune, IN
Year Founded
2001
Social Media