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Data Engineer
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Data Engineer

Molecular Connections's profile picture
Posted by Molecular Connections
4 - 9 yrs
₹8L - ₹12L / yr
Bengaluru (Bangalore)
Skills
ETL
Informatica
Data Warehouse (DWH)
Spark
Hadoop
skill iconPython
Windows Azure
AWS
SQL
HiveQL

Job Description: Data Engineer


Experience: Over 4 years


Responsibilities:

-       Design, develop, and maintain scalable data pipelines for efficient data extraction, transformation, and loading (ETL) processes.

-       Architect and implement data storage solutions, including data warehouses, data lakes, and data marts, aligned with business needs.

-       Implement robust data quality checks and data cleansing techniques to ensure data accuracy and consistency.

-       Optimize data pipelines for performance, scalability, and cost-effectiveness.

-       Collaborate with data analysts and data scientists to understand data requirements and translate them into technical solutions.

-       Develop and maintain data security measures to ensure data privacy and regulatory compliance.

-       Automate data processing tasks using scripting languages (Python, Bash) and big data frameworks (Spark, Hadoop).

-       Monitor data pipelines and infrastructure for performance and troubleshoot any issues.

-       Stay up to date with the latest trends and technologies in data engineering, including cloud platforms (AWS, Azure, GCP).

-        Document data pipelines, processes, and data models for maintainability and knowledge sharing.

-       Contribute to the overall data governance strategy and best practices.

 

Qualifications:

-       Strong understanding of data architectures, data modelling principles, and ETL processes.

-       Proficiency in SQL (e.g., MySQL, PostgreSQL) and experience with big data querying languages (e.g., Hive, Spark SQL).

-       Experience with scripting languages (Python, Bash) for data manipulation and automation.

-       Experience with distributed data processing frameworks (Spark, Hadoop) (preferred).

-       Familiarity with cloud platforms (AWS, Azure, GCP) for data storage and processing (a plus).

-       Experience with data quality tools and techniques.

-       Excellent problem-solving, analytical, and critical thinking skills.

-       Strong communication, collaboration, and teamwork abilities.

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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About Molecular Connections

Founded :
2001
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable
About
With over two decades of experience in Big Data and Data Science Solutions, Molecular Connections (MC) has been using AI-powered proprietary models to help customers achieve digital transformation. We have been able to successfully build a data-driven decision-making strategy for our customer's digital transformational journey. MC leverages AI, ML and the Linked Data Store to build efficiencies in various verticals and generate new revenue streams for its customers. MC's decades of industry presence and a strong focus on innovation have led us to work with the world's leading pharma and STEM industries to offer end-to-end software development and data insights powered by proprietary workflows and platforms, enabling content engineering across multiple domains. With over 70% of its workforce being women, MC is ranked among the top 15 best companies for women to work for in India. Subsidiary Companies: 1. Molecular Connections Analytics Pvt. Ltd. | URL: https://mcanalytics.co.in/ 2. Molecular Connections Research Pvt. Ltd. | URL: https://mcresearch.co.in/
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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