Overview
We're Hiring: Data Engineers (3–6 Yrs Exp) | Hyderabad | Flexible Shifts | In-Person Interview
Cognine Technologies is on the lookout for passionate Data Engineers who thrive on working with large datasets, building scalable pipelines, and crafting cutting-edge data solutions.
If you're ready to make an impact with your skills in Azure Databricks, ADF, ADLS, and more, this one’s for you!
Location: Hyderabad (On-site)
Timings: Flexible Shift
Experience: 3–6 years
Interview Mode: In-Person
We are seek a Data Engineers with 3-6 years of experience in Azure Databricks, Azure Data Lake Storage gen2 (ADLS), and Azure Data Factory (ADF). The candidate will design, build, and maintain data pipelines using Azure ADF/Databricks. The candidate should be able to create Data Modelling & Governance, they will also work closely with our data science and engineering teams to develop and deploy machine learning models and other advanced analytics solutions.
Primary skills: Azure Data Factory, Azure Data Bricks, SQL, ADLS, Spark-SQL, Python (Pandas), Pyspark or Scala
Secondary Skills: Basics of Azure Security (RBAC, Azure AD), Hadoop, HDFS, ADLS, Azure DBFS, PowerBI, and Tableau visualization tool is a plus.
Key Responsibilities:
· Design, build, and maintain data pipelines using Azure ADF/Databricks.
· Strong expertise in Azure Data Factory, Databricks, and related technologies such as Azure Synapse Analytics and Azure Functions.
· Hands-on experience in designing and implementing data pipelines and workflows in Azure Data Factory and Databricks.
· Experience in Data Extraction, Transformation, and Loading of data from multiple data sources into target databases, using Azure Databricks, Spark SQL, Pyspark, and Azure SQL.
· Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks.
· Sound working experience in Cleansing, Transformation, Business Logic, Incremental Transformation of Data, and merging the data with datamart tables,
· Developing scalable and reusable frameworks for ingesting data sets.
· Integrating the end-to-end data pipeline - to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times.
· Interacting with stakeholders and leaders to understand business goals and data requirements.
· Experience in working with Agile (Scrum, Sprint) and Waterfall Methodologies.
· Collaborate with data engineers, data architects, and business analysts to understand and translate business requirements into technical designs.
· Provide technical guidance and support to junior team members.
· Design, develop, and maintain SQL databases, including creating database schemas, tables, views, stored procedures, and triggers.
· Self-starter and team player with excellent communication, problem-solving skills, and interpersonal skills, and a good aptitude for learning.
What We Value:
- Strong communication and collaboration skills
- Agile/Waterfall methodology experience
- A self-starter mindset with a love for solving problems
If this sounds like you, or someone in your network, apply now or share the opportunity!
Apply now on our website: https://cognine.keka.com/careers/
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