Techstra is seeking an experienced Databricks Engineer with a minimum of 4-7 years' experience (ex: Data warehouse design, business intelligence reporting, Customer Information Systems, Meter Data Management Systems and/or Outage Management Systems) or in lieu of experience, 6-9 years equivalent combination of education and work experience.
From the day you join, you will hit the ground running surrounded by amazing people. Here is a look of some of the expectations and responsibilities for this position:
Responsibilities:
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Design, build, and manage scalable ETL/ELT/Data pipelines using Databricks
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Integrate Databricks with cloud services
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Ingest structured and unstructured data from multiple sources (e.g., Kafka, REST APIs, databases, cloud storage).
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Write optimized Spark SQL or PySpark code for batch and streaming data transformations.
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Implement data cleansing, validation, and enrichment processes.
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Optimize jobs for performance, memory management, and cost-efficiency
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Create Technical design documents
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Solution code base
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Develop Technical and procedural documentation, as required
Experience & Qualifications:
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Bachelor’s degree in computer science or related discipline and 4-7 years' experience (ex: Data warehouse design, business intelligence reporting, Customer Information Systems, Meter Data Management Systems and/or Outage Management Systems) or in lieu of experience, 6-9 years equivalent combination of education and work experience
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Strong knowledge of business practices, processes, data and applications
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Strong problem solving and analysis ability
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Excellent communications skills (written and verbal)
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Possess expertise in cloud technologies
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Databricks certification preferred
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Proficient in the Azure cloud platform and its applications
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Strong experience developing Databricks
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Databricks notebooks and Databricks coding with
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Experience in Databricks technologies with Databricks warehouse expertise
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Experience with deploying/configuring Databricks from the start
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Experience in ODI, IDMC, ADF, Synapse o Familiarity on Oracle Golden Gate, cosmos DB, Hyperscale DB
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Proficient with big data technologies such as Spark, Python, Pyspark
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Experienced in data cleaning, preprocessing, and transforming data into readable formats for analysis
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Experience writing technical design specifications for data integrations and data transformations with structured and unstructured data.
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Experience with Scrum development methodology
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Experience with writing business cases. Experience in capturing, analyzing and translating business needs into functional IT requirements
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Experience developing data integrations and data transformations with structured and unstructured data.
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Application re-engineering, data modeling and performance tuning. Architecture and design for application disaster recovery and high availability: HP ALM, Microsoft Azure DevOps, Customer Information Systems (for example: CIMs, CC&B, SAP CRM&B),AMI Meter Data Management Systems (for example: Oracle Utilities MDM, Itron IEE), Geographic Information Systems (for example: GE Smallworld), Outage Management Systems, Itron/SSN UtilityIQ, Xylem/Sensus AMI, OSI Soft PI
Location: This position is a Hybrid in Office (3 day), Remote (2 days), located in Oakbrook Terrace, IL
At Techstra Solutions, we help top companies and brands achieve the business value of Digital and Talent Transformation. We believe there are three components in successful business transformation: Business Strategy, Technology and Talent. It is the coming together of these three disciplines that enables companies to take full advantage of opportunities. It differentiates us. Our approach is holistic and all encompassing. We consider the full picture as we guide our clients on this journey.
We are experts in transformation, business strategy, technology, innovation, and human capital management. We deliver our expertise through client consulting, innovative staffing solutions and software development. From strategy through implementation, we are dedicated to bringing our clients world-class business and talent solutions that fit strategic requirements and most importantly, deliver results.
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