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Open nowPosted 1304 days ago

Senior Engineer-Data Engineer-Data Bricks

Anblicks40 open roles

Where
Hyderabad, India
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Your applicationOpen nowSenior Engineer-Data Engineer-Data BricksAnblicks · Hyderabad, India

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Anblicks's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 1304 days ago

The posting

Strong experience in ADF( Azure data factory), Azure SQL, Synapse, Spark/Databricks= 5+ Yrs

Excellent written and verbal communication, intellectual curiosity, a passion to understand and solve problems, consulting & customer service

Structured and conceptual mindset coupled with strong quantitative and analytical problem-solving aptitude

Exceptional interpersonal and collaboration skills within a team environment

PySpark

Parquet files

Big data and modern data lake

Demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines

Hands-on experience with Azure

Experience with column-oriented database technologies (e.g., Synapse), NoSQL database technologies (e.g., DynamoDB, Cosmos DB, etc.) and traditional database systems (e.g., SQL Server, Oracle, MySQL)

Experience in data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Azure functions and Stream analytics

Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, and Azure Purview

Test, plan, creation and test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks

Data modeling, querying, and optimization for relational, NoSQL, timeseries, graph databases, data warehouses and data lakes

Data processing programming using SQL, Python, and similar tools

Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala

Cloud-native data platform design with a focus on streaming and event-driven architectures

Participate in integrated validation and analysis sessions of components and subsystems on production servers

Data ingest, validation, and enrichment pipeline design and implementation

SDLC optimization across workstreams within a solution

Bachelor’s degree in Computer Science, Engineering, or related field

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