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Data Engineer-Data Platforms-Azure-DLT @ Gravity Engineering

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 Data Engineer-Data Platforms-Azure-DLT

Job Description

Job Description:

8+ Yrs total experience in IT/Data Engineering projects & 5+ years of

relevant experience- Strong coding skills in - Python, SQL, ADF, Databricks (PySpark, Delta

live table, Live/structural data streaming, Unity Catalog, Performance Tuning of DLT

pipelines with high volume of data processing , Cost Optimization of Databricks when DLT

runs in live streaming on Photon, Serverless, non serverless)The candidate should be

responsible, take ownership, self driven, dedication to achieve timeline. Should have great

problem solving and analytical/reasoning capability,Technical skill with good mindset and

behaviour is important good hands-on programming / scripting knowledge in Python , very

strong skilled resources only with good communication-knowledge in Power BI


AWS/Azure/SAP - Master


ELT - Master

Data Modelling - Master


Data Integration & Ingestion - Skill


Data Manipulation and Processing - Skill


GITHUB, Action, Azure DevOps - Skill


Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis,

Redshift, SonarQube, PyTest - Skill


Required skills-Python, SQL, Databricks, ADF within-Databricks - DLT, PySpark, Structural

streaming, performance and cost optimization


Azure : Azure data factory, ADLS- Azure data lake store, Azure data bricks,

Mandatory Programming languages: Py-Spark, PL/SQL, Spark SQL, Python Programming,

Data Modelling and design


Database : SQL DB

Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB,

Analysis Services, Azure Functions, Serverless Architecture, ARM Templates,

Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

Experience with object-oriented/object function scripting languages: Python, SQL, Scala,

Spark-SQL etc.


Data Warehousing experience with strong domain knowledge Nice to have experience with

big data tools: Hadoop, Spark, Kafka, etc.


Nice to have experience with data pipeline and workflow management tools: Azkaban, Luigi,

Airflow, stream processing systems: Storm, Azure Synapse/CI/CD


optional: COSMOS DB, Synapse Analytics, Azure analysis services

Job Classification

Industry: Legal
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Gravity Engineering
Location(s): Hyderabad

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Keyskills:   Data Modelling Azure ELT Power BI Py-Spark Python Programming Data Bricks SQL

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Gravity Engineering

Company DetailsGravity Engineering Services Pvt. Ltd